Packages & Setup

# install.packages(c("tidyverse","purrr","R.matlab","readxl","dplyr"))
library(readxl);
library(purrr)
library(tidyverse);

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## ✔ lubridate 1.9.3     ✔ tidyr     1.3.1
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library(tibble);
library(knitr);
library(gtsummary);
library(kableExtra);

## 
## Attaching package: 'kableExtra'
## 
## The following object is masked from 'package:dplyr':
## 
##     group_rows

library(lme4);

## Loading required package: Matrix
## 
## Attaching package: 'Matrix'
## 
## The following objects are masked from 'package:tidyr':
## 
##     expand, pack, unpack

library(MuMIn);

GTSUMMARY THEME

# my_theme <-
#   list(
#     "tbl_summary-str:default_con_type" = "continuous2",
#     "tbl_summary-str:continuous_stat" = c(
#       "{median} ({p25} - {p75})",
#       "{mean} ({sd})",
#       "{min} - {max}"
#     ),
#     "tbl_summary-str:categorical_stat" = "{n} / {N} ({p}%)",
#     "style_number-arg:big.mark" = "",
#     "tbl_summary-fn:percent_fun" = function(x) style_percent(x, digits = 3)
#   )
# my_theme <-
#   list()
# gtsummary::set_gtsummary_theme(my_theme)
gtsummary::set_gtsummary_theme(theme_gtsummary_journal("jama"))

## Setting theme `JAMA`
## Setting theme `JAMA`

# reset_gtsummary_theme()

load table

# excel_dir <-"M:/jsalminen/GitHub/par_EEGProcessing/src/_data/MIM_dataset/_studies/04162024_MIM_YAOAN89_antsnormalize_iccREMG0p4_powpow0p3_skull0p01/cluster/icrej_5/12/spec_data/group_spec/psd_calcs/fooof_kinematics_table.xlsx";
excel_dir <-"M:/jsalminen/GitHub/par_EEGProcessing/src/_data/MIM_dataset/_studies/04232024_MIM_YAOAN89_antsnorm_dipfix_iccREMG0p4_powpow0p3_skull0p01_15mmrej/cluster/icrej_5/11/spec_data/group_spec/psd_calcs/fooof_kinematics_table_nans.xlsx";
eegt <- read_excel(excel_dir,sheet="Sheet1")

get unique entries

clusters = unique(eegt$cluster_id);
subjects = unique(eegt$subj_char);
groups = unique(eegt$group_char);
kin_measures = c('mean_APexc_COV','mean_APexc_mean','mean_MLexc_COV','mean_MLexc_mean','mean_StepDur','mean_UDexc_COV','mean_UDexc_mean','mean_StanceDur','mean_GaitCycleDur','mean_PeakUpDownVel_mean');
kin_title_chars = c("AP Exc. COV","AP Exc. Mean","ML Exc. COV","ML Exc. Mean","Step Dur.","UD Exc. COV","UD Exc Mean","Stance Dur.","Gait Cycle Dur.","Peak UD Vel. Mean")
kin_inds_plot = c(1:length(kin_measures));
# eeg_measures = c('theta_avg_power','alpha_avg_power','beta_avg_power','beta_div_theta','theta_div_beta','log_beta_div_theta','log_theta_div_beta','aperiodic_exp','aperiodic_offset');
# eeg_title_chars = c("**THETA**","**ALPHA**","**BETA**","**BETA/THETA**","**THETA/BETA**","**log10(BETA/THETA)**","**log10(THETA/BETA)**","**AP exp**","**AP offset**");
eeg_measures = c('theta_avg_power','alpha_avg_power','beta_avg_power','theta_div_beta','log_theta_div_beta','aperiodic_exp','aperiodic_offset');
eeg_title_chars = c("**THETA**","**ALPHA**","**BETA**","**THETA/BETA**","**log10(THETA/BETA)**","**AP exp**","**AP offset**");
eeg_inds_plot = c(1:7);

get speeds only

eegt <- filter_at(eegt,vars('cond_char'), any_vars(. %in% c('0.25','0.5','0.75','1.0')))
flat_speeds = unique(eegt$cond_char)
eegt$cond_char <- as.numeric(eegt$cond_char)
eegt$speed_cond_num <- as.numeric(eegt$cond_char)
eegt <- mutate(eegt,across(c('subj_char'), factor))
eegt <- mutate(eegt,across(c('group_char'), factor))
eegt$speed_ord <- cut(eegt$cond_char, 4, ordered = TRUE)
eegt <- mutate(eegt,across(c('cond_char'), factor))
eegt$group_speed_code = paste(eegt$group_char,eegt$cond_char,sep="_")
head(eegt)

create ratios

Log <- function(x, base = exp(1)) {
  LOG <- base::log(as.complex(x), base = base)
  if (all(Im(LOG) == 0)) { LOG <- Re(LOG) }
  LOG }
#%% CALCS
eegt <- eegt%>%
  mutate(beta_div_theta=beta_avg_power/theta_avg_power)
eegt <- eegt%>%
  mutate(theta_div_beta=theta_avg_power/beta_avg_power)
eegt <- eegt%>%
  mutate(log_beta_div_theta=log10(beta_avg_power/theta_avg_power+max(abs(beta_avg_power/theta_avg_power))))
eegt <- eegt%>%
  mutate(log_theta_div_beta=log10(theta_avg_power/beta_avg_power+max(abs(theta_avg_power/beta_avg_power))))
# eegt <- eegt%>%
#   mutate(log_beta_div_theta=log10(beta_avg_power/theta_avg_power+mean(abs(beta_avg_power/theta_avg_power))/(mean(abs(beta_avg_power/theta_avg_power))+3*sd(abs(beta_avg_power/theta_avg_power)))));
# eegt <- eegt%>%
#   mutate(log_theta_div_beta=log10(theta_avg_power/beta_avg_power+mean(abs(theta_avg_power/beta_avg_power))/(mean(abs(theta_avg_power/beta_avg_power))+3*sd(abs(theta_avg_power/beta_avg_power)))));
# eegt <- eegt%>%
#   mutate(log_beta_div_theta=log10((beta_avg_power/theta_avg_power)+abs(min((beta_avg_power/theta_avg_power)))));
# eegt <- eegt%>%
#   mutate(log_theta_div_beta=log10((theta_avg_power/beta_avg_power)+abs(min((theta_avg_power/beta_avg_power)))));
eegt <- eegt%>%
  mutate(log_beta_div_theta=Re(Log((beta_avg_power/theta_avg_power),10)*Conj(Log((theta_avg_power/beta_avg_power),10))));
eegt <- eegt%>%
  mutate(log_theta_div_beta=Re(Log((theta_avg_power/beta_avg_power),10)*Conj(Log((theta_avg_power/beta_avg_power),10))));

EEG TESTS: SPEED, GROUP, INTERACTION

LME EEG ~ 1+speed+group+speed:group

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Cluster: 3
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.37 (0.02 to 0.73)	0.039	0.076	4.6 (3.8 to 5.4)	<0.001	<0.001	2.6 (2.2 to 3.0)	<0.001	<0.001	0.18 (-1.8 to 2.2)	0.86	0.97	2.1 (1.4 to 2.9)	<0.001	<0.001	1.3 (1.2 to 1.4)	<0.001	<0.001	-0.57 (-0.77 to -0.38)	<0.001	<0.001
speed_cond_num	0.08 (-0.18 to 0.34)	0.54	0.54	-0.32 (-0.75 to 0.11)	0.14	0.19	-0.11 (-0.32 to 0.11)	0.35	0.41	0.05 (-2.9 to 3.0)	0.97	0.97	-0.71 (-1.5 to 0.03)	0.059	0.072	-0.01 (-0.06 to 0.04)	0.79	0.79	0.00 (-0.08 to 0.08)	0.96	0.96
group_char		<0.001	<0.001		0.10	0.19		0.021	0.042		0.33	0.97		0.001	0.002		<0.001	<0.001		<0.001	<0.001
H1000’s	—			—			—			—			—			—			—
H2000’s	0.62 (0.09 to 1.2)			-1.2 (-2.4 to -0.06)			-0.63 (-1.2 to -0.01)			0.19 (-2.8 to 3.2)			-1.4 (-2.5 to -0.34)			-0.04 (-0.20 to 0.11)			-0.20 (-0.50 to 0.09)
H3000’s	1.4 (0.89 to 1.9)			-0.87 (-2.0 to 0.24)			-0.80 (-1.4 to -0.21)			2.0 (-0.86 to 4.8)			-1.8 (-2.8 to -0.82)			0.29 (0.14 to 0.43)			0.43 (0.15 to 0.70)
speed_cond_num * group_char		0.057	0.076		0.58	0.58		0.41	0.41		0.54	0.97		0.072	0.072		<0.001	<0.001		<0.001	<0.001
speed_cond_num * H2000’s	-0.08 (-0.46 to 0.30)			-0.18 (-0.82 to 0.45)			-0.22 (-0.54 to 0.11)			0.33 (-4.1 to 4.7)			1.1 (-0.01 to 2.2)			-0.04 (-0.11 to 0.03)			-0.05 (-0.17 to 0.06)
speed_cond_num * H3000’s	-0.42 (-0.78 to -0.06)			-0.32 (-0.92 to 0.28)			-0.15 (-0.46 to 0.16)			-1.9 (-6.1 to 2.2)			1.1 (0.02 to 2.1)			-0.16 (-0.23 to -0.09)			-0.22 (-0.33 to -0.11)
subj_char.sd__(Intercept)	0.82 (NA to NA)			1.9 (NA to NA)			1.0 (NA to NA)			0.00 (NA to NA)			1.3 (NA to NA)			0.26 (NA to NA)			0.50 (NA to NA)
Residual.sd__Observation	0.38 (NA to NA)			0.63 (NA to NA)			0.32 (NA to NA)			4.4 (NA to NA)			1.1 (NA to NA)			0.07 (NA to NA)			0.12 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.2209, R2c: 0.8636

alpha_avg_power R2m: 0.0802, R2c: 0.9108

beta_avg_power R2m: 0.125, R2c: 0.9207

theta_div_beta R2m: 0.0111, R2c: 0.0111

log_theta_div_beta R2m: 0.0816, R2c: 0.6202

aperiodic_exp R2m: 0.1412, R2c: 0.939

aperiodic_offset R2m: 0.1517, R2c: 0.9563

## Warning: There was 1 warning in `mutate()`.
## ℹ In argument: `mod = `%>%`(...)`.
## ℹ In row 1.
## Caused by warning:
## ! 'r.squaredGLMM' now calculates a revised statistic. See the help page.

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.38 (0.15 to 0.61)	0.001	0.004	3.6 (2.7 to 4.6)	<0.001	<0.001	2.4 (1.8 to 3.1)	<0.001	<0.001	0.41 (-0.18 to 1.0)	0.17	0.69	1.7 (0.92 to 2.4)	<0.001	<0.001	1.0 (0.92 to 1.1)	<0.001	<0.001	-1.1 (-1.4 to -0.90)	<0.001	<0.001
speed_cond_num	0.08 (-0.09 to 0.25)	0.38	0.50	-0.29 (-0.66 to 0.08)	0.12	0.24	-0.18 (-0.39 to 0.03)	0.10	0.10	0.00 (-0.86 to 0.86)	0.99	0.99	-0.49 (-1.3 to 0.31)	0.23	0.23	0.04 (0.00 to 0.08)	0.054	0.11	0.06 (0.01 to 0.12)	0.027	0.054
group_char		0.11	0.22		0.75	0.75		0.028	0.037		0.40	0.80		0.008	0.015		0.18	0.24		0.57	0.57
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.28 (-0.64 to 0.07)			-0.46 (-1.9 to 1.0)			0.46 (-0.49 to 1.4)			-0.36 (-1.3 to 0.55)			0.48 (-0.65 to 1.6)			-0.13 (-0.29 to 0.02)			-0.20 (-0.57 to 0.18)
H3000’s	-0.33 (-0.67 to 0.00)			-0.48 (-1.9 to 0.92)			1.2 (0.33 to 2.1)			-0.59 (-1.5 to 0.28)			1.7 (0.61 to 2.8)			-0.11 (-0.26 to 0.04)			-0.12 (-0.47 to 0.24)
speed_cond_num * group_char		0.89	0.89		0.21	0.28		0.012	0.025		0.73	0.97		0.052	0.070		0.63	0.63		0.44	0.57
speed_cond_num * H2000’s	0.05 (-0.21 to 0.31)			0.00 (-0.57 to 0.57)			-0.09 (-0.42 to 0.24)			0.31 (-1.0 to 1.6)			0.68 (-0.54 to 1.9)			0.03 (-0.03 to 0.09)			0.04 (-0.04 to 0.13)
speed_cond_num * H3000’s	-0.01 (-0.25 to 0.24)			-0.44 (-0.98 to 0.10)			-0.45 (-0.76 to -0.14)			0.50 (-0.75 to 1.8)			-0.87 (-2.0 to 0.30)			0.02 (-0.04 to 0.08)			0.05 (-0.03 to 0.13)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.13 (NA to NA)			1.3 (NA to NA)			0.25 (NA to NA)			0.63 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.54 (NA to NA)			0.31 (NA to NA)			1.3 (NA to NA)			1.2 (NA to NA)			0.06 (NA to NA)			0.08 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.065, R2c: 0.8256

alpha_avg_power R2m: 0.0199, R2c: 0.9533

beta_avg_power R2m: 0.0643, R2c: 0.965

theta_div_beta R2m: 0.0141, R2c: 0.025

log_theta_div_beta R2m: 0.0964, R2c: 0.5925

aperiodic_exp R2m: 0.0414, R2c: 0.9516

aperiodic_offset R2m: 0.0136, R2c: 0.9838

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Cluster: 5
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.06 (-0.23 to 0.34)	0.70	0.70	2.5 (1.5 to 3.4)	<0.001	<0.001	1.2 (0.74 to 1.6)	<0.001	<0.001	0.74 (-6.3 to 7.7)	0.84	0.93	1.5 (0.64 to 2.3)	<0.001	0.002	0.75 (0.60 to 0.90)	<0.001	<0.001	-1.3 (-1.5 to -1.1)	<0.001	<0.001
speed_cond_num	0.26 (0.05 to 0.47)	0.015	0.060	-0.11 (-0.51 to 0.30)	0.61	0.81	-0.06 (-0.23 to 0.11)	0.48	0.48	-0.46 (-10 to 9.6)	0.93	0.93	-0.12 (-1.1 to 0.90)	0.82	0.82	0.07 (-0.02 to 0.15)	0.12	0.12	0.15 (0.06 to 0.24)	<0.001	0.002
group_char		0.20	0.27		0.86	0.86		0.37	0.48		0.29	0.58		0.007	0.015		0.089	0.12		0.072	0.072
H1000’s	—			—			—			—			—			—			—
H2000’s	0.50 (-0.08 to 1.1)			-0.38 (-2.3 to 1.5)			0.22 (-0.68 to 1.1)			10 (-3.7 to 24)			2.5 (0.87 to 4.2)			0.33 (0.03 to 0.62)			0.38 (-0.11 to 0.86)
H3000’s	0.25 (-0.22 to 0.73)			-0.39 (-1.9 to 1.2)			-0.43 (-1.2 to 0.31)			-0.93 (-12 to 11)			0.00 (-1.4 to 1.4)			0.13 (-0.11 to 0.37)			0.42 (0.03 to 0.82)
speed_cond_num * group_char		0.031	0.062		0.19	0.38		0.033	0.067		0.070	0.28		0.10	0.13		0.060	0.12		0.002	0.002
speed_cond_num * H2000’s	-0.30 (-0.72 to 0.13)			0.08 (-0.72 to 0.89)			0.29 (-0.06 to 0.63)			-19 (-39 to 1.1)			-2.0 (-4.0 to 0.04)			-0.19 (-0.35 to -0.02)			-0.28 (-0.45 to -0.10)
speed_cond_num * H3000’s	0.31 (-0.04 to 0.65)			-0.57 (-1.2 to 0.10)			-0.21 (-0.49 to 0.07)			6.4 (-10 to 23)			0.30 (-1.4 to 2.0)			-0.10 (-0.24 to 0.03)			0.06 (-0.09 to 0.20)
subj_char.sd__(Intercept)	0.62 (NA to NA)			2.2 (NA to NA)			1.1 (NA to NA)			3.5 (NA to NA)			1.1 (NA to NA)			0.34 (NA to NA)			0.58 (NA to NA)
Residual.sd__Observation	0.30 (NA to NA)			0.57 (NA to NA)			0.24 (NA to NA)			14 (NA to NA)			1.4 (NA to NA)			0.12 (NA to NA)			0.12 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0992, R2c: 0.8344

alpha_avg_power R2m: 0.0215, R2c: 0.9416

beta_avg_power R2m: 0.0854, R2c: 0.957

theta_div_beta R2m: 0.0403, R2c: 0.0971

log_theta_div_beta R2m: 0.0788, R2c: 0.4303

aperiodic_exp R2m: 0.0453, R2c: 0.9002

aperiodic_offset R2m: 0.1089, R2c: 0.9622

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Cluster: 6
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.4 (0.96 to 1.8)	<0.001	<0.001	0.83 (0.43 to 1.2)	<0.001	<0.001	1.3 (0.86 to 1.8)	<0.001	<0.001	2.0 (-2.3 to 6.4)	0.35	0.71	0.53 (0.07 to 0.99)	0.023	0.090	1.1 (0.97 to 1.2)	<0.001	<0.001	-1.1 (-1.4 to -0.90)	<0.001	<0.001
speed_cond_num	0.14 (-0.09 to 0.36)	0.23	0.30	-0.10 (-0.34 to 0.14)	0.39	0.53	-0.19 (-0.34 to -0.04)	0.011	0.023	3.8 (-2.2 to 9.8)	0.22	0.71	-0.03 (-0.37 to 0.31)	0.87	0.87	0.04 (-0.02 to 0.09)	0.21	0.28	0.05 (-0.02 to 0.12)	0.13	0.26
group_char		0.033	0.067		0.75	0.75		0.080	0.11		0.88	0.88		0.20	0.40		0.12	0.25		0.37	0.42
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.79 (-1.4 to -0.15)			-0.25 (-0.89 to 0.39)			0.79 (0.06 to 1.5)			-1.3 (-8.2 to 5.7)			0.65 (-0.08 to 1.4)			-0.17 (-0.35 to 0.00)			-0.26 (-0.66 to 0.13)
H3000’s	-0.58 (-1.2 to 0.03)			-0.12 (-0.73 to 0.49)			0.54 (-0.15 to 1.2)			-1.5 (-8.1 to 5.0)			0.39 (-0.30 to 1.1)			-0.03 (-0.19 to 0.13)			-0.01 (-0.38 to 0.37)
speed_cond_num * group_char		0.84	0.84		0.39	0.53		0.48	0.48		0.74	0.88		0.72	0.87		0.66	0.66		0.42	0.42
speed_cond_num * H2000’s	0.11 (-0.25 to 0.46)			0.25 (-0.13 to 0.64)			-0.15 (-0.39 to 0.09)			-2.3 (-12 to 7.3)			-0.23 (-0.77 to 0.32)			0.04 (-0.05 to 0.13)			0.03 (-0.08 to 0.14)
speed_cond_num * H3000’s	0.06 (-0.28 to 0.39)			0.02 (-0.34 to 0.39)			-0.05 (-0.28 to 0.18)			-3.6 (-13 to 5.6)			-0.08 (-0.59 to 0.44)			0.03 (-0.06 to 0.12)			0.07 (-0.04 to 0.18)
subj_char.sd__(Intercept)	0.93 (NA to NA)			0.93 (NA to NA)			1.1 (NA to NA)			3.5 (NA to NA)			1.0 (NA to NA)			0.25 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.32 (NA to NA)			0.34 (NA to NA)			0.21 (NA to NA)			8.5 (NA to NA)			0.49 (NA to NA)			0.08 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0948, R2c: 0.9074

alpha_avg_power R2m: 0.0033, R2c: 0.8812

beta_avg_power R2m: 0.0685, R2c: 0.9682

theta_div_beta R2m: 0.0373, R2c: 0.1772

log_theta_div_beta R2m: 0.0374, R2c: 0.8171

aperiodic_exp R2m: 0.0572, R2c: 0.9104

aperiodic_offset R2m: 0.0348, R2c: 0.9758

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.34 (0.07 to 0.60)	0.014	0.028	2.6 (1.6 to 3.7)	<0.001	<0.001	2.6 (1.9 to 3.3)	<0.001	<0.001	-0.51 (-1.7 to 0.73)	0.42	0.71	2.1 (1.3 to 2.9)	<0.001	<0.001	1.0 (0.96 to 1.1)	<0.001	<0.001	-1.3 (-1.5 to -1.1)	<0.001	<0.001
speed_cond_num	0.20 (0.04 to 0.36)	0.012	0.028	-0.16 (-0.63 to 0.31)	0.51	0.69	-0.33 (-0.59 to -0.07)	0.013	0.026	1.4 (-0.25 to 3.1)	0.094	0.38	-0.30 (-1.1 to 0.50)	0.46	0.62	0.03 (-0.02 to 0.08)	0.25	0.33	0.06 (0.00 to 0.11)	0.049	0.10
group_char		0.046	0.062		0.83	0.83		0.036	0.048		0.83	0.83		0.33	0.62		0.013	0.026		0.66	0.66
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.53 (-0.97 to -0.10)			-0.14 (-1.9 to 1.6)			0.86 (-0.26 to 2.0)			0.38 (-1.6 to 2.4)			0.93 (-0.29 to 2.2)			-0.14 (-0.25 to -0.03)			-0.12 (-0.41 to 0.17)
H3000’s	-0.31 (-0.70 to 0.07)			0.37 (-1.2 to 1.9)			1.3 (0.29 to 2.3)			0.55 (-1.2 to 2.3)			0.30 (-0.78 to 1.4)			-0.12 (-0.22 to -0.03)			0.01 (-0.25 to 0.26)
speed_cond_num * group_char		0.42	0.42		0.18	0.37		0.39	0.39		0.53	0.71		0.85	0.85		0.47	0.47		0.19	0.25
speed_cond_num * H2000’s	0.14 (-0.11 to 0.39)			-0.48 (-1.2 to 0.28)			-0.25 (-0.67 to 0.17)			-1.1 (-3.9 to 1.6)			-0.31 (-1.6 to 0.98)			0.01 (-0.07 to 0.08)			-0.03 (-0.12 to 0.06)
speed_cond_num * H3000’s	-0.02 (-0.24 to 0.20)			-0.60 (-1.3 to 0.07)			-0.22 (-0.59 to 0.15)			-1.3 (-3.7 to 1.1)			0.05 (-1.1 to 1.2)			0.04 (-0.03 to 0.11)			0.05 (-0.03 to 0.13)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.7 (NA to NA)			1.2 (NA to NA)			1.4 (NA to NA)			0.15 (NA to NA)			0.46 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.68 (NA to NA)			0.38 (NA to NA)			2.5 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.08 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0785, R2c: 0.8966

alpha_avg_power R2m: 0.0079, R2c: 0.9376

beta_avg_power R2m: 0.079, R2c: 0.9589

theta_div_beta R2m: 0.0114, R2c: 0.1943

log_theta_div_beta R2m: 0.0283, R2c: 0.5901

aperiodic_exp R2m: 0.1063, R2c: 0.8508

aperiodic_offset R2m: 0.0235, R2c: 0.971

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.44 (0.13 to 0.75)	0.005	0.021	4.0 (3.0 to 4.9)	<0.001	<0.001	2.4 (1.9 to 2.9)	<0.001	<0.001	0.23 (-0.67 to 1.1)	0.62	0.82	1.3 (0.63 to 2.0)	<0.001	<0.001	1.2 (1.1 to 1.2)	<0.001	<0.001	-0.81 (-1.0 to -0.62)	<0.001	<0.001
speed_cond_num	0.11 (-0.03 to 0.25)	0.12	0.25	-0.04 (-0.42 to 0.33)	0.82	0.95	-0.04 (-0.24 to 0.15)	0.65	0.65	0.06 (-1.3 to 1.4)	0.93	0.93	-0.24 (-0.90 to 0.41)	0.47	0.63	0.01 (-0.02 to 0.04)	0.44	0.58	0.01 (-0.04 to 0.05)	0.74	0.74
group_char		0.49	0.65		0.95	0.95		0.49	0.65		0.037	0.15		0.10	0.20		0.031	0.062		0.10	0.21
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.26 (-0.75 to 0.23)			-0.20 (-1.7 to 1.3)			0.41 (-0.37 to 1.2)			-1.3 (-2.8 to 0.08)			1.0 (-0.10 to 2.1)			-0.17 (-0.29 to -0.04)			-0.33 (-0.64 to -0.02)
H3000’s	0.03 (-0.45 to 0.50)			-0.20 (-1.6 to 1.2)			0.37 (-0.39 to 1.1)			0.61 (-0.77 to 2.0)			0.99 (-0.08 to 2.1)			-0.08 (-0.20 to 0.04)			-0.18 (-0.48 to 0.12)
speed_cond_num * group_char		0.70	0.70		0.50	0.95		0.20	0.40		0.082	0.16		0.77	0.77		0.83	0.83		0.16	0.22
speed_cond_num * H2000’s	0.09 (-0.13 to 0.31)			-0.25 (-0.84 to 0.35)			-0.20 (-0.50 to 0.10)			1.9 (-0.18 to 4.0)			-0.22 (-1.3 to 0.82)			0.01 (-0.03 to 0.06)			0.05 (-0.03 to 0.12)
speed_cond_num * H3000’s	0.05 (-0.16 to 0.27)			-0.33 (-0.91 to 0.25)			-0.25 (-0.55 to 0.04)			-0.50 (-2.5 to 1.5)			-0.37 (-1.4 to 0.64)			0.01 (-0.04 to 0.05)			0.07 (-0.01 to 0.14)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.54 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.0 (NA to NA)			1.0 (NA to NA)			0.05 (NA to NA)			0.07 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0174, R2c: 0.936

alpha_avg_power R2m: 0.006, R2c: 0.949

beta_avg_power R2m: 0.0103, R2c: 0.9524

theta_div_beta R2m: 0.0276, R2c: 0.0276

log_theta_div_beta R2m: 0.0515, R2c: 0.6965

aperiodic_exp R2m: 0.0818, R2c: 0.9565

aperiodic_offset R2m: 0.0499, R2c: 0.9833

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.48 (0.08 to 0.88)	0.019	0.075	0.47 (-0.34 to 1.3)	0.25	0.33	0.87 (0.44 to 1.3)	<0.001	<0.001	3.5 (-6.7 to 14)	0.50	0.83	0.85 (-0.01 to 1.7)	0.052	0.21	0.90 (0.76 to 1.0)	<0.001	<0.001	-1.1 (-1.4 to -0.73)	<0.001	<0.001
speed_cond_num	0.28 (0.00 to 0.56)	0.047	0.095	0.16 (-0.25 to 0.56)	0.45	0.45	-0.12 (-0.32 to 0.08)	0.24	0.33	-1.6 (-16 to 13)	0.83	0.83	0.23 (-0.81 to 1.3)	0.67	0.82	0.08 (0.01 to 0.16)	0.030	0.061	0.10 (0.01 to 0.19)	0.025	0.050
group_char		0.60	0.80		0.008	0.032		0.18	0.33		0.83	0.83		0.82	0.82		0.68	0.68		0.29	0.38
H1000’s	—			—			—			—			—			—			—
H2000’s	0.21 (-0.38 to 0.80)			1.7 (0.49 to 2.9)			-0.15 (-0.78 to 0.48)			3.6 (-11 to 18)			0.40 (-0.86 to 1.7)			0.09 (-0.12 to 0.30)			0.41 (-0.10 to 0.92)
H3000’s	-0.08 (-0.62 to 0.47)			1.5 (0.37 to 2.6)			-0.53 (-1.1 to 0.05)			-0.83 (-15 to 13)			0.24 (-0.93 to 1.4)			0.06 (-0.14 to 0.25)			0.20 (-0.27 to 0.67)
speed_cond_num * group_char		0.98	0.98		0.033	0.066		0.96	0.96		0.62	0.83		0.76	0.82		0.047	0.063		0.38	0.38
speed_cond_num * H2000’s	-0.03 (-0.45 to 0.38)			-0.33 (-0.93 to 0.27)			-0.04 (-0.34 to 0.26)			-8.4 (-30 to 13)			0.11 (-1.4 to 1.6)			-0.08 (-0.19 to 0.03)			-0.07 (-0.20 to 0.05)
speed_cond_num * H3000’s	-0.04 (-0.42 to 0.34)			-0.74 (-1.3 to -0.18)			-0.01 (-0.29 to 0.27)			1.4 (-18 to 21)			-0.41 (-1.8 to 1.0)			-0.13 (-0.23 to -0.03)			-0.08 (-0.20 to 0.04)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.4 (NA to NA)			0.75 (NA to NA)			4.2 (NA to NA)			0.88 (NA to NA)			0.24 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.42 (NA to NA)			0.21 (NA to NA)			15 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0373, R2c: 0.8415

alpha_avg_power R2m: 0.1501, R2c: 0.9306

beta_avg_power R2m: 0.0858, R2c: 0.9336

theta_div_beta R2m: 0.0121, R2c: 0.0866

log_theta_div_beta R2m: 0.0262, R2c: 0.4166

aperiodic_exp R2m: 0.0135, R2c: 0.9117

aperiodic_offset R2m: 0.0486, R2c: 0.9808

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.65 (0.32 to 0.99)	<0.001	<0.001	1.9 (0.97 to 2.8)	<0.001	<0.001	0.99 (0.54 to 1.4)	<0.001	<0.001	0.21 (-8.5 to 9.0)	0.96	0.96	1.0 (0.30 to 1.7)	0.005	0.020	0.99 (0.83 to 1.2)	<0.001	<0.001	-0.92 (-1.3 to -0.58)	<0.001	<0.001
speed_cond_num	-0.14 (-0.35 to 0.07)	0.20	0.27	-0.41 (-0.85 to 0.03)	0.070	0.093	-0.16 (-0.33 to 0.01)	0.066	0.088	1.0 (-10 to 12)	0.86	0.96	-0.51 (-1.3 to 0.25)	0.19	0.19	0.04 (-0.03 to 0.12)	0.26	0.35	0.10 (0.02 to 0.18)	0.013	0.026
group_char		0.78	0.78		0.017	0.034		0.84	0.84		0.29	0.96		0.034	0.068		0.16	0.32		0.74	0.98
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.14 (-0.67 to 0.40)			2.1 (0.59 to 3.5)			-0.17 (-0.89 to 0.55)			4.9 (-9.1 to 19)			1.5 (0.35 to 2.6)			-0.25 (-0.51 to 0.01)			-0.16 (-0.70 to 0.38)
H3000’s	-0.16 (-0.62 to 0.31)			1.3 (-0.02 to 2.6)			-0.17 (-0.80 to 0.46)			-6.0 (-18 to 6.2)			0.42 (-0.55 to 1.4)			-0.07 (-0.29 to 0.16)			0.05 (-0.43 to 0.52)
speed_cond_num * group_char		0.18	0.27		0.90	0.90		0.010	0.021		0.62	0.96		0.085	0.11		0.52	0.52		0.98	0.98
speed_cond_num * H2000’s	0.31 (-0.02 to 0.65)			0.01 (-0.70 to 0.72)			0.24 (-0.03 to 0.52)			-1.7 (-20 to 16)			-0.57 (-1.8 to 0.64)			-0.05 (-0.17 to 0.08)			0.00 (-0.13 to 0.12)
speed_cond_num * H3000’s	0.16 (-0.13 to 0.46)			-0.12 (-0.74 to 0.49)			-0.17 (-0.41 to 0.07)			6.3 (-9.4 to 22)			0.75 (-0.31 to 1.8)			-0.06 (-0.17 to 0.05)			0.01 (-0.10 to 0.12)
subj_char.sd__(Intercept)	0.63 (NA to NA)			1.8 (NA to NA)			0.92 (NA to NA)			8.7 (NA to NA)			0.98 (NA to NA)			0.32 (NA to NA)			0.70 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.52 (NA to NA)			0.20 (NA to NA)			13 (NA to NA)			0.89 (NA to NA)			0.09 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0066, R2c: 0.8701

alpha_avg_power R2m: 0.1563, R2c: 0.9371

beta_avg_power R2m: 0.0239, R2c: 0.9551

theta_div_beta R2m: 0.0265, R2c: 0.3182

log_theta_div_beta R2m: 0.1285, R2c: 0.6052

aperiodic_exp R2m: 0.0934, R2c: 0.9313

aperiodic_offset R2m: 0.0152, R2c: 0.9831

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.88 (0.50 to 1.3)	<0.001	<0.001	1.3 (0.70 to 1.9)	<0.001	<0.001	0.80 (0.34 to 1.3)	<0.001	0.003	2.2 (-4.6 to 9.0)	0.53	0.99	0.44 (-0.30 to 1.2)	0.25	0.49	1.1 (0.98 to 1.2)	<0.001	<0.001	-0.75 (-1.1 to -0.41)	<0.001	<0.001
speed_cond_num	0.46 (0.25 to 0.67)	<0.001	<0.001	-0.07 (-0.47 to 0.33)	0.73	0.73	-0.11 (-0.30 to 0.07)	0.24	0.24	0.01 (-9.9 to 9.9)	0.99	0.99	0.19 (-0.71 to 1.1)	0.69	0.69	0.02 (-0.03 to 0.07)	0.48	0.48	0.04 (-0.04 to 0.11)	0.34	0.46
group_char		0.051	0.067		0.35	0.70		0.024	0.048		0.98	0.99		0.003	0.012		0.091	0.18		0.14	0.28
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.59 (-1.1 to -0.03)			0.11 (-0.77 to 0.99)			0.72 (0.04 to 1.4)			-0.96 (-11 to 8.9)			1.8 (0.69 to 2.8)			-0.18 (-0.37 to 0.01)			-0.44 (-0.94 to 0.06)
H3000’s	-0.60 (-1.2 to -0.05)			0.62 (-0.26 to 1.5)			0.88 (0.20 to 1.6)			-0.06 (-9.9 to 9.8)			1.4 (0.28 to 2.4)			0.02 (-0.17 to 0.21)			0.02 (-0.49 to 0.52)
speed_cond_num * group_char		0.47	0.47		0.69	0.73		0.24	0.24		0.94	0.99		0.53	0.69		0.39	0.48		0.59	0.59
speed_cond_num * H2000’s	-0.19 (-0.50 to 0.11)			-0.24 (-0.82 to 0.33)			-0.23 (-0.50 to 0.04)			-2.5 (-17 to 12)			-0.74 (-2.0 to 0.56)			0.04 (-0.03 to 0.12)			0.05 (-0.06 to 0.16)
speed_cond_num * H3000’s	-0.09 (-0.39 to 0.22)			-0.18 (-0.75 to 0.40)			-0.16 (-0.43 to 0.11)			-0.84 (-15 to 14)			-0.45 (-1.7 to 0.85)			-0.01 (-0.09 to 0.07)			0.04 (-0.06 to 0.15)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)			0.95 (NA to NA)			0.29 (NA to NA)			0.80 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.52 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1341, R2c: 0.9152

alpha_avg_power R2m: 0.0337, R2c: 0.8614

beta_avg_power R2m: 0.0919, R2c: 0.9544

theta_div_beta R2m: 0.0077, R2c: 0.0077

log_theta_div_beta R2m: 0.1302, R2c: 0.4775

aperiodic_exp R2m: 0.0567, R2c: 0.9486

aperiodic_offset R2m: 0.0596, R2c: 0.9869

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.78 (0.42 to 1.1)	<0.001	<0.001	1.4 (0.45 to 2.3)	0.003	0.013	1.7 (0.89 to 2.5)	<0.001	<0.001	-1.2 (-9.1 to 6.8)	0.78	0.97	1.3 (0.46 to 2.1)	0.002	0.008	1.0 (0.93 to 1.1)	<0.001	<0.001	-1.1 (-1.3 to -0.90)	<0.001	<0.001
speed_cond_num	0.17 (-0.08 to 0.42)	0.19	0.26	-0.18 (-0.53 to 0.17)	0.32	0.64	-0.18 (-0.41 to 0.05)	0.12	0.16	0.24 (-11 to 12)	0.97	0.97	-0.14 (-0.87 to 0.59)	0.71	0.80	0.03 (-0.03 to 0.10)	0.35	0.46	0.07 (-0.01 to 0.15)	0.076	0.10
group_char		0.088	0.18		0.71	0.71		0.055	0.11		0.94	0.97		0.55	0.80		0.013	0.027		0.004	0.008
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.45 (-1.0 to 0.09)			-0.27 (-1.6 to 1.1)			0.59 (-0.61 to 1.8)			2.1 (-9.8 to 14)			0.64 (-0.55 to 1.8)			-0.22 (-0.38 to -0.07)			-0.50 (-0.80 to -0.20)
H3000’s	-0.54 (-1.1 to -0.03)			0.29 (-0.97 to 1.6)			1.4 (0.25 to 2.5)			1.3 (-9.8 to 12)			0.43 (-0.68 to 1.5)			-0.13 (-0.27 to 0.01)			-0.20 (-0.48 to 0.08)
speed_cond_num * group_char		0.32	0.32		0.49	0.66		0.26	0.26		0.97	0.97		0.80	0.80		0.47	0.47		0.52	0.52
speed_cond_num * H2000’s	0.28 (-0.09 to 0.65)			0.30 (-0.22 to 0.82)			0.06 (-0.28 to 0.40)			1.8 (-16 to 19)			0.36 (-0.73 to 1.4)			0.05 (-0.05 to 0.14)			0.03 (-0.08 to 0.15)
speed_cond_num * H3000’s	0.06 (-0.28 to 0.41)			0.05 (-0.44 to 0.54)			-0.20 (-0.52 to 0.12)			0.02 (-16 to 16)			0.24 (-0.78 to 1.3)			0.05 (-0.04 to 0.14)			0.06 (-0.04 to 0.17)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			1.4 (NA to NA)			0.21 (NA to NA)			0.45 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)			0.95 (NA to NA)			0.08 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0718, R2c: 0.8526

alpha_avg_power R2m: 0.0074, R2c: 0.9522

beta_avg_power R2m: 0.0757, R2c: 0.9764

theta_div_beta R2m: 0.0076, R2c: 0.0076

log_theta_div_beta R2m: 0.0409, R2c: 0.7096

aperiodic_exp R2m: 0.1081, R2c: 0.8793

aperiodic_offset R2m: 0.1517, R2c: 0.9583

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Cluster: 13
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.63 (0.21 to 1.0)	0.003	0.012	3.9 (2.8 to 5.0)	<0.001	<0.001	1.9 (1.4 to 2.5)	<0.001	<0.001	0.38 (-2.4 to 3.2)	0.79	0.91	1.0 (0.34 to 1.7)	0.003	0.013	1.1 (0.95 to 1.2)	<0.001	<0.001	-0.75 (-0.99 to -0.51)	<0.001	<0.001
speed_cond_num	-0.09 (-0.30 to 0.12)	0.41	0.43	-0.45 (-0.96 to 0.06)	0.082	0.11	-0.24 (-0.48 to 0.00)	0.053	0.071	0.23 (-3.6 to 4.1)	0.91	0.91	-0.15 (-0.85 to 0.56)	0.68	0.91	0.03 (-0.03 to 0.08)	0.35	0.47	0.08 (0.00 to 0.15)	0.045	0.091
group_char		0.11	0.21		0.79	0.79		0.73	0.73		0.84	0.91		0.021	0.043		0.12	0.24		0.20	0.26
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.50 (-1.2 to 0.16)			-0.36 (-2.1 to 1.4)			0.25 (-0.61 to 1.1)			-1.3 (-5.8 to 3.2)			1.5 (0.39 to 2.6)			-0.21 (-0.41 to -0.01)			-0.35 (-0.73 to 0.03)
H3000’s	0.24 (-0.39 to 0.86)			0.28 (-1.4 to 1.9)			-0.11 (-0.91 to 0.70)			-0.18 (-4.4 to 4.1)			0.22 (-0.81 to 1.2)			-0.08 (-0.27 to 0.11)			-0.13 (-0.49 to 0.23)
speed_cond_num * group_char		0.43	0.43		0.062	0.11		0.026	0.053		0.54	0.91		0.99	0.99		0.57	0.57		0.36	0.36
speed_cond_num * H2000’s	0.23 (-0.11 to 0.56)			0.15 (-0.66 to 0.97)			0.01 (-0.37 to 0.40)			-0.06 (-6.2 to 6.0)			0.01 (-1.1 to 1.1)			-0.04 (-0.13 to 0.05)			-0.05 (-0.17 to 0.07)
speed_cond_num * H3000’s	0.09 (-0.23 to 0.41)			-0.77 (-1.5 to 0.00)			-0.45 (-0.81 to -0.09)			2.9 (-2.8 to 8.7)			-0.05 (-1.1 to 1.0)			-0.04 (-0.12 to 0.05)			0.04 (-0.07 to 0.15)
subj_char.sd__(Intercept)	0.89 (NA to NA)			2.4 (NA to NA)			1.2 (NA to NA)			2.4 (NA to NA)			1.1 (NA to NA)			0.27 (NA to NA)			0.53 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.65 (NA to NA)			0.31 (NA to NA)			4.9 (NA to NA)			0.90 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0692, R2c: 0.9202

alpha_avg_power R2m: 0.0096, R2c: 0.9319

beta_avg_power R2m: 0.0508, R2c: 0.9384

theta_div_beta R2m: 0.0514, R2c: 0.238

log_theta_div_beta R2m: 0.1623, R2c: 0.6663

aperiodic_exp R2m: 0.1032, R2c: 0.9399

aperiodic_offset R2m: 0.0781, R2c: 0.9714 ## LME EEG ~ 1+speed+group

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Cluster: 3
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.48 (0.15 to 0.81)	0.004	0.007	4.7 (4.0 to 5.5)	<0.001	<0.001	2.6 (2.2 to 3.0)	<0.001	<0.001	0.55 (-0.82 to 1.9)	0.43	0.55	1.7 (1.1 to 2.3)	<0.001	<0.001	1.3 (1.2 to 1.4)	<0.001	<0.001	-0.52 (-0.71 to -0.32)	<0.001	<0.001
speed_cond_num	-0.09 (-0.25 to 0.06)	0.24	0.24	-0.49 (-0.74 to -0.23)	<0.001	<0.001	-0.22 (-0.35 to -0.09)	<0.001	0.001	-0.54 (-2.3 to 1.2)	0.55	0.55	-0.02 (-0.46 to 0.43)	0.94	0.94	-0.08 (-0.11 to -0.05)	<0.001	<0.001	-0.09 (-0.14 to -0.05)	<0.001	<0.001
group_char		<0.001	<0.001		0.035	0.035		0.004	0.004		0.41	0.55		0.011	0.017		0.002	0.002		0.001	0.001
H1000’s	—			—			—			—			—			—			—
H2000’s	0.57 (0.10 to 1.0)			-1.3 (-2.5 to -0.25)			-0.76 (-1.3 to -0.18)			0.39 (-0.83 to 1.6)			-0.72 (-1.5 to 0.08)			-0.07 (-0.22 to 0.08)			-0.24 (-0.52 to 0.04)
H3000’s	1.1 (0.68 to 1.6)			-1.1 (-2.1 to -0.02)			-0.89 (-1.4 to -0.33)			0.79 (-0.37 to 2.0)			-1.1 (-1.9 to -0.39)			0.18 (0.04 to 0.33)			0.29 (0.02 to 0.56)
subj_char.sd__(Intercept)	0.82 (NA to NA)			1.9 (NA to NA)			1.0 (NA to NA)			0.00 (NA to NA)			1.3 (NA to NA)			0.26 (NA to NA)			0.50 (NA to NA)
Residual.sd__Observation	0.38 (NA to NA)			0.63 (NA to NA)			0.32 (NA to NA)			4.4 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.12 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.2185, R2c: 0.8612

alpha_avg_power R2m: 0.08, R2c: 0.9111

beta_avg_power R2m: 0.1246, R2c: 0.9207

theta_div_beta R2m: 0.0071, R2c: 0.0071

log_theta_div_beta R2m: 0.0752, R2c: 0.6138

aperiodic_exp R2m: 0.1368, R2c: 0.9336

aperiodic_offset R2m: 0.1494, R2c: 0.9537

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.37 (0.16 to 0.59)	<0.001	0.002	3.7 (2.8 to 4.6)	<0.001	<0.001	2.6 (1.9 to 3.2)	<0.001	<0.001	0.25 (-0.16 to 0.66)	0.23	0.34	1.7 (1.1 to 2.3)	<0.001	<0.001	1.0 (0.92 to 1.1)	<0.001	<0.001	-1.2 (-1.4 to -0.92)	<0.001	<0.001
speed_cond_num	0.09 (-0.01 to 0.19)	0.093	0.093	-0.44 (-0.67 to -0.21)	<0.001	<0.001	-0.36 (-0.49 to -0.22)	<0.001	<0.001	0.26 (-0.27 to 0.79)	0.34	0.34	-0.59 (-1.1 to -0.09)	0.020	0.020	0.05 (0.03 to 0.08)	<0.001	<0.001	0.09 (0.06 to 0.13)	<0.001	<0.001
group_char		0.070	0.093		0.55	0.55		0.11	0.11		0.32	0.34		0.011	0.017		0.25	0.25		0.66	0.66
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.25 (-0.56 to 0.06)			-0.46 (-1.9 to 0.98)			0.41 (-0.53 to 1.3)			-0.17 (-0.55 to 0.21)			0.91 (0.08 to 1.7)			-0.11 (-0.26 to 0.04)			-0.17 (-0.54 to 0.20)
H3000’s	-0.33 (-0.63 to -0.04)			-0.76 (-2.1 to 0.60)			0.95 (0.07 to 1.8)			-0.27 (-0.63 to 0.09)			1.1 (0.35 to 1.9)			-0.10 (-0.24 to 0.04)			-0.09 (-0.44 to 0.27)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.14 (NA to NA)			1.3 (NA to NA)			0.25 (NA to NA)			0.63 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.54 (NA to NA)			0.32 (NA to NA)			1.2 (NA to NA)			1.2 (NA to NA)			0.06 (NA to NA)			0.08 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0649, R2c: 0.8269

alpha_avg_power R2m: 0.0194, R2c: 0.953

beta_avg_power R2m: 0.0632, R2c: 0.9638

theta_div_beta R2m: 0.0119, R2c: 0.0245

log_theta_div_beta R2m: 0.0878, R2c: 0.5834

aperiodic_exp R2m: 0.0412, R2c: 0.9518

aperiodic_offset R2m: 0.0135, R2c: 0.9838

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Cluster: 5
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.03 (-0.24 to 0.30)	0.82	0.82	2.6 (1.6 to 3.5)	<0.001	<0.001	1.2 (0.75 to 1.6)	<0.001	<0.001	1.6 (-4.0 to 7.1)	0.58	0.63	1.6 (0.93 to 2.3)	<0.001	<0.001	0.79 (0.64 to 0.93)	<0.001	<0.001	-1.3 (-1.5 to -1.0)	<0.001	<0.001
speed_cond_num	0.30 (0.15 to 0.46)	<0.001	<0.001	-0.26 (-0.56 to 0.03)	0.079	0.12	-0.08 (-0.20 to 0.05)	0.24	0.24	-1.8 (-9.1 to 5.5)	0.63	0.63	-0.38 (-1.1 to 0.37)	0.32	0.32	0.00 (-0.06 to 0.06)	0.97	0.97	0.12 (0.05 to 0.19)	<0.001	<0.001
group_char		0.10	0.15		0.62	0.62		0.11	0.17		0.35	0.63		0.059	0.088		0.33	0.50		0.065	0.065
H1000’s	—			—			—			—			—			—			—
H2000’s	0.31 (-0.20 to 0.83)			-0.32 (-2.1 to 1.5)			0.39 (-0.48 to 1.3)			-1.5 (-7.7 to 4.8)			1.3 (0.22 to 2.3)			0.21 (-0.07 to 0.49)			0.20 (-0.27 to 0.67)
H3000’s	0.45 (0.02 to 0.87)			-0.74 (-2.2 to 0.75)			-0.56 (-1.3 to 0.16)			3.1 (-2.1 to 8.2)			0.18 (-0.69 to 1.1)			0.06 (-0.16 to 0.29)			0.46 (0.07 to 0.85)
subj_char.sd__(Intercept)	0.62 (NA to NA)			2.2 (NA to NA)			1.1 (NA to NA)			3.3 (NA to NA)			1.1 (NA to NA)			0.34 (NA to NA)			0.58 (NA to NA)
Residual.sd__Observation	0.30 (NA to NA)			0.57 (NA to NA)			0.24 (NA to NA)			14 (NA to NA)			1.4 (NA to NA)			0.12 (NA to NA)			0.13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0931, R2c: 0.8281

alpha_avg_power R2m: 0.0204, R2c: 0.9409

beta_avg_power R2m: 0.0839, R2c: 0.9555

theta_div_beta R2m: 0.0142, R2c: 0.066

log_theta_div_beta R2m: 0.0648, R2c: 0.4157

aperiodic_exp R2m: 0.0423, R2c: 0.8975

aperiodic_offset R2m: 0.1063, R2c: 0.9592

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Cluster: 6
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.3 (0.94 to 1.7)	<0.001	<0.001	0.78 (0.40 to 1.2)	<0.001	<0.001	1.4 (0.90 to 1.8)	<0.001	<0.001	3.1 (-0.10 to 6.4)	0.058	0.10	0.58 (0.16 to 1.0)	0.007	0.022	1.1 (0.96 to 1.2)	<0.001	<0.001	-1.2 (-1.4 to -0.92)	<0.001	<0.001
speed_cond_num	0.18 (0.04 to 0.32)	0.012	0.018	-0.03 (-0.18 to 0.13)	0.71	0.93	-0.25 (-0.34 to -0.15)	<0.001	<0.001	2.0 (-1.8 to 5.9)	0.30	0.30	-0.11 (-0.33 to 0.11)	0.32	0.32	0.06 (0.02 to 0.09)	0.003	0.004	0.08 (0.04 to 0.13)	<0.001	<0.001
group_char		0.037	0.037		0.93	0.93		0.12	0.12		0.066	0.10		0.27	0.32		0.16	0.16		0.35	0.35
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.72 (-1.3 to -0.12)			-0.09 (-0.68 to 0.50)			0.70 (-0.01 to 1.4)			-2.7 (-6.2 to 0.75)			0.51 (-0.14 to 1.2)			-0.15 (-0.31 to 0.01)			-0.24 (-0.63 to 0.14)
H3000’s	-0.54 (-1.1 to 0.03)			-0.10 (-0.67 to 0.46)			0.51 (-0.16 to 1.2)			-3.8 (-7.1 to -0.46)			0.34 (-0.27 to 0.96)			-0.01 (-0.16 to 0.14)			0.04 (-0.33 to 0.40)
subj_char.sd__(Intercept)	0.93 (NA to NA)			0.93 (NA to NA)			1.1 (NA to NA)			3.5 (NA to NA)			1.0 (NA to NA)			0.25 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.31 (NA to NA)			0.34 (NA to NA)			0.21 (NA to NA)			8.5 (NA to NA)			0.48 (NA to NA)			0.08 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0947, R2c: 0.9082

alpha_avg_power R2m: 0.0024, R2c: 0.8812

beta_avg_power R2m: 0.0683, R2c: 0.9683

theta_div_beta R2m: 0.0354, R2c: 0.1779

log_theta_div_beta R2m: 0.0369, R2c: 0.8182

aperiodic_exp R2m: 0.0569, R2c: 0.9109

aperiodic_offset R2m: 0.0346, R2c: 0.9758

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.32 (0.06 to 0.58)	0.015	0.022	2.8 (1.8 to 3.9)	<0.001	<0.001	2.7 (2.0 to 3.4)	<0.001	<0.001	-0.04 (-0.96 to 0.88)	0.93	0.93	2.1 (1.5 to 2.8)	<0.001	<0.001	1.0 (0.96 to 1.1)	<0.001	<0.001	-1.3 (-1.5 to -1.2)	<0.001	<0.001
speed_cond_num	0.23 (0.13 to 0.32)	<0.001	<0.001	-0.50 (-0.79 to -0.20)	<0.001	0.001	-0.47 (-0.63 to -0.31)	<0.001	<0.001	0.69 (-0.36 to 1.7)	0.20	0.59	-0.35 (-0.85 to 0.14)	0.16	0.24	0.04 (0.01 to 0.07)	0.003	0.005	0.07 (0.03 to 0.10)	<0.001	<0.001
group_char		0.063	0.063		0.85	0.85		0.063	0.063		0.79	0.93		0.29	0.29		0.014	0.014		0.47	0.47
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.44 (-0.85 to -0.04)			-0.44 (-2.1 to 1.2)			0.71 (-0.39 to 1.8)			-0.32 (-1.4 to 0.73)			0.74 (-0.18 to 1.7)			-0.14 (-0.23 to -0.04)			-0.14 (-0.43 to 0.15)
H3000’s	-0.33 (-0.68 to 0.03)			-0.01 (-1.5 to 1.5)			1.1 (0.18 to 2.1)			-0.26 (-1.2 to 0.67)			0.33 (-0.48 to 1.1)			-0.10 (-0.18 to -0.01)			0.04 (-0.21 to 0.29)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.7 (NA to NA)			1.2 (NA to NA)			1.4 (NA to NA)			0.15 (NA to NA)			0.46 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.38 (NA to NA)			2.4 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.08 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0779, R2c: 0.8967

alpha_avg_power R2m: 0.0071, R2c: 0.9372

beta_avg_power R2m: 0.0787, R2c: 0.9589

theta_div_beta R2m: 0.0077, R2c: 0.1924

log_theta_div_beta R2m: 0.0279, R2c: 0.5922

aperiodic_exp R2m: 0.1056, R2c: 0.851

aperiodic_offset R2m: 0.0232, R2c: 0.9708

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.42 (0.11 to 0.72)	0.007	0.011	4.1 (3.2 to 5.0)	<0.001	<0.001	2.5 (2.0 to 3.0)	<0.001	<0.001	0.00 (-0.65 to 0.64)	0.99	0.99	1.4 (0.81 to 2.1)	<0.001	<0.001	1.1 (1.1 to 1.2)	<0.001	<0.001	-0.83 (-1.0 to -0.64)	<0.001	<0.001
speed_cond_num	0.15 (0.06 to 0.24)	<0.001	0.003	-0.21 (-0.45 to 0.03)	0.088	0.13	-0.18 (-0.30 to -0.05)	0.005	0.008	0.43 (-0.42 to 1.3)	0.32	0.52	-0.41 (-0.84 to 0.01)	0.053	0.080	0.02 (0.00 to 0.04)	0.063	0.063	0.04 (0.01 to 0.07)	0.007	0.011
group_char		0.57	0.57		0.82	0.82		0.73	0.73		0.34	0.52		0.10	0.10		0.037	0.056		0.15	0.15
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.20 (-0.67 to 0.27)			-0.36 (-1.8 to 1.1)			0.29 (-0.47 to 1.0)			-0.16 (-0.74 to 0.42)			0.86 (-0.03 to 1.8)			-0.16 (-0.28 to -0.04)			-0.30 (-0.61 to 0.00)
H3000’s	0.06 (-0.40 to 0.52)			-0.40 (-1.8 to 1.0)			0.22 (-0.52 to 0.95)			0.30 (-0.27 to 0.86)			0.76 (-0.10 to 1.6)			-0.08 (-0.20 to 0.04)			-0.13 (-0.43 to 0.16)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.54 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)			1.0 (NA to NA)			0.05 (NA to NA)			0.07 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0173, R2c: 0.9363

alpha_avg_power R2m: 0.0058, R2c: 0.9491

beta_avg_power R2m: 0.0098, R2c: 0.9521

theta_div_beta R2m: 0.0108, R2c: 0.0108

log_theta_div_beta R2m: 0.0511, R2c: 0.698

aperiodic_exp R2m: 0.0818, R2c: 0.9568

aperiodic_offset R2m: 0.0497, R2c: 0.9832

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.49 (0.12 to 0.87)	0.009	0.014	0.71 (-0.08 to 1.5)	0.076	0.076	0.88 (0.47 to 1.3)	<0.001	<0.001	4.6 (-2.3 to 12)	0.19	0.58	0.93 (0.26 to 1.6)	0.007	0.020	0.95 (0.81 to 1.1)	<0.001	<0.001	-1.0 (-1.4 to -0.71)	<0.001	<0.001
speed_cond_num	0.26 (0.10 to 0.42)	0.002	0.005	-0.22 (-0.46 to 0.02)	0.075	0.076	-0.14 (-0.25 to -0.02)	0.021	0.031	-3.4 (-12 to 4.9)	0.42	0.63	0.10 (-0.50 to 0.70)	0.74	0.74	0.01 (-0.03 to 0.05)	0.66	0.81	0.05 (0.00 to 0.10)	0.054	0.081
group_char		0.54	0.54		0.029	0.076		0.15	0.15		0.85	0.85		0.42	0.64		0.81	0.81		0.37	0.37
H1000’s	—			—			—			—			—			—			—
H2000’s	0.19 (-0.34 to 0.72)			1.5 (0.35 to 2.6)			-0.18 (-0.78 to 0.43)			-1.7 (-8.5 to 5.1)			0.47 (-0.35 to 1.3)			0.04 (-0.16 to 0.24)			0.36 (-0.14 to 0.86)
H3000’s	-0.10 (-0.59 to 0.39)			1.0 (-0.04 to 2.1)			-0.54 (-1.1 to 0.02)			0.07 (-6.3 to 6.4)			-0.01 (-0.77 to 0.75)			-0.02 (-0.21 to 0.16)			0.15 (-0.31 to 0.62)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.4 (NA to NA)			0.75 (NA to NA)			4.3 (NA to NA)			0.88 (NA to NA)			0.24 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.43 (NA to NA)			0.21 (NA to NA)			15 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0373, R2c: 0.8438

alpha_avg_power R2m: 0.1472, R2c: 0.9277

beta_avg_power R2m: 0.0858, R2c: 0.9346

theta_div_beta R2m: 0.0065, R2c: 0.0839

log_theta_div_beta R2m: 0.0243, R2c: 0.4195

aperiodic_exp R2m: 0.01, R2c: 0.9085

aperiodic_offset R2m: 0.0483, R2c: 0.9808

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.57 (0.25 to 0.88)	<0.001	0.001	1.9 (1.0 to 2.8)	<0.001	<0.001	0.99 (0.55 to 1.4)	<0.001	<0.001	-1.1 (-7.8 to 5.6)	0.75	0.75	0.90 (0.31 to 1.5)	0.003	0.008	1.0 (0.85 to 1.2)	<0.001	<0.001	-0.92 (-1.3 to -0.59)	<0.001	<0.001
speed_cond_num	0.00 (-0.13 to 0.13)	0.97	0.97	-0.46 (-0.72 to -0.19)	<0.001	0.001	-0.17 (-0.28 to -0.06)	0.002	0.003	3.1 (-3.7 to 9.9)	0.38	0.57	-0.35 (-0.82 to 0.11)	0.14	0.14	0.01 (-0.04 to 0.06)	0.70	0.70	0.10 (0.06 to 0.15)	<0.001	<0.001
group_char		0.90	0.97		0.013	0.013		0.63	0.63		0.37	0.57		0.011	0.017		0.084	0.13		0.73	0.73
H1000’s	—			—			—			—			—			—			—
H2000’s	0.06 (-0.43 to 0.55)			2.1 (0.66 to 3.5)			-0.02 (-0.72 to 0.68)			3.8 (-4.4 to 12)			1.1 (0.29 to 1.9)			-0.28 (-0.53 to -0.03)			-0.16 (-0.70 to 0.37)
H3000’s	-0.06 (-0.48 to 0.37)			1.2 (-0.04 to 2.4)			-0.28 (-0.89 to 0.34)			-2.0 (-9.3 to 5.2)			0.89 (0.17 to 1.6)			-0.11 (-0.32 to 0.11)			0.05 (-0.42 to 0.52)
subj_char.sd__(Intercept)	0.63 (NA to NA)			1.8 (NA to NA)			0.92 (NA to NA)			8.7 (NA to NA)			0.98 (NA to NA)			0.32 (NA to NA)			0.70 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.52 (NA to NA)			0.21 (NA to NA)			13 (NA to NA)			0.90 (NA to NA)			0.09 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0042, R2c: 0.8685

alpha_avg_power R2m: 0.1564, R2c: 0.9379

beta_avg_power R2m: 0.0217, R2c: 0.9527

theta_div_beta R2m: 0.0231, R2c: 0.3182

log_theta_div_beta R2m: 0.1183, R2c: 0.595

aperiodic_exp R2m: 0.0929, R2c: 0.9316

aperiodic_offset R2m: 0.0152, R2c: 0.9833

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.94 (0.57 to 1.3)	<0.001	<0.001	1.4 (0.82 to 2.0)	<0.001	<0.001	0.88 (0.42 to 1.3)	<0.001	<0.001	2.8 (-1.8 to 7.4)	0.23	0.67	0.68 (0.09 to 1.3)	0.023	0.035	1.1 (0.97 to 1.2)	<0.001	<0.001	-0.77 (-1.1 to -0.43)	<0.001	<0.001
speed_cond_num	0.37 (0.24 to 0.49)	<0.001	<0.001	-0.20 (-0.44 to 0.03)	0.090	0.13	-0.24 (-0.35 to -0.12)	<0.001	<0.001	-1.0 (-6.9 to 4.8)	0.73	0.73	-0.20 (-0.73 to 0.34)	0.47	0.47	0.03 (0.00 to 0.06)	0.055	0.083	0.07 (0.02 to 0.11)	0.003	0.005
group_char		0.012	0.012		0.34	0.34		0.052	0.052		0.45	0.67		<0.001	0.001		0.16	0.16		0.16	0.16
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.71 (-1.2 to -0.18)			-0.04 (-0.85 to 0.76)			0.58 (-0.08 to 1.2)			-2.5 (-6.5 to 1.5)			1.3 (0.60 to 2.0)			-0.15 (-0.33 to 0.03)			-0.41 (-0.91 to 0.09)
H3000’s	-0.66 (-1.2 to -0.13)			0.51 (-0.30 to 1.3)			0.78 (0.12 to 1.4)			-0.58 (-4.6 to 3.4)			1.1 (0.38 to 1.8)			0.01 (-0.17 to 0.20)			0.04 (-0.45 to 0.54)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)			0.95 (NA to NA)			0.29 (NA to NA)			0.80 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.52 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1337, R2c: 0.9153

alpha_avg_power R2m: 0.0333, R2c: 0.8622

beta_avg_power R2m: 0.0913, R2c: 0.9542

theta_div_beta R2m: 0.0073, R2c: 0.0073

log_theta_div_beta R2m: 0.1279, R2c: 0.4774

aperiodic_exp R2m: 0.0564, R2c: 0.9486

aperiodic_offset R2m: 0.0595, R2c: 0.987

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.72 (0.38 to 1.1)	<0.001	<0.001	1.3 (0.41 to 2.2)	0.004	0.013	1.7 (0.93 to 2.5)	<0.001	<0.001	-1.5 (-6.9 to 3.9)	0.59	0.83	1.1 (0.43 to 1.8)	0.002	0.005	1.0 (0.91 to 1.1)	<0.001	<0.001	-1.1 (-1.3 to -0.92)	<0.001	<0.001
speed_cond_num	0.27 (0.12 to 0.42)	<0.001	<0.001	-0.08 (-0.28 to 0.13)	0.47	0.71	-0.24 (-0.37 to -0.10)	<0.001	<0.001	0.77 (-6.1 to 7.6)	0.83	0.83	0.05 (-0.38 to 0.48)	0.81	0.81	0.06 (0.03 to 0.10)	0.001	0.002	0.10 (0.06 to 0.15)	<0.001	<0.001
group_char		0.10	0.10		0.80	0.80		0.087	0.087		0.42	0.83		0.20	0.30		0.022	0.022		0.004	0.004
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.28 (-0.77 to 0.21)			-0.08 (-1.4 to 1.2)			0.62 (-0.55 to 1.8)			3.3 (-1.6 to 8.1)			0.86 (-0.11 to 1.8)			-0.20 (-0.34 to -0.06)			-0.48 (-0.77 to -0.19)
H3000’s	-0.50 (-0.96 to -0.04)			0.32 (-0.90 to 1.5)			1.2 (0.14 to 2.3)			1.3 (-3.2 to 5.8)			0.58 (-0.33 to 1.5)			-0.10 (-0.23 to 0.03)			-0.16 (-0.43 to 0.11)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			1.4 (NA to NA)			0.21 (NA to NA)			0.45 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)			0.95 (NA to NA)			0.08 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0705, R2c: 0.8522

alpha_avg_power R2m: 0.0072, R2c: 0.9524

beta_avg_power R2m: 0.0754, R2c: 0.9763

theta_div_beta R2m: 0.0075, R2c: 0.0075

log_theta_div_beta R2m: 0.0405, R2c: 0.7114

aperiodic_exp R2m: 0.1074, R2c: 0.8795

aperiodic_offset R2m: 0.1515, R2c: 0.9584

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Cluster: 13
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.57 (0.17 to 0.97)	0.005	0.016	4.0 (2.9 to 5.1)	<0.001	<0.001	2.0 (1.5 to 2.6)	<0.001	<0.001	-0.21 (-2.4 to 1.9)	0.85	0.85	1.0 (0.44 to 1.6)	<0.001	0.002	1.1 (0.97 to 1.2)	<0.001	<0.001	-0.75 (-0.99 to -0.51)	<0.001	<0.001
speed_cond_num	0.00 (-0.14 to 0.14)	0.99	0.99	-0.66 (-0.99 to -0.33)	<0.001	<0.001	-0.38 (-0.54 to -0.22)	<0.001	<0.001	1.2 (-1.3 to 3.6)	0.35	0.52	-0.16 (-0.61 to 0.29)	0.48	0.48	0.00 (-0.03 to 0.04)	0.85	0.85	0.07 (0.03 to 0.12)	0.002	0.003
group_char		0.15	0.22		0.95	0.95		0.33	0.33		0.062	0.18		0.001	0.002		0.053	0.079		0.13	0.13
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.36 (-0.99 to 0.26)			-0.26 (-2.0 to 1.4)			0.26 (-0.57 to 1.1)			-1.3 (-3.7 to 1.1)			1.5 (0.65 to 2.3)			-0.23 (-0.42 to -0.04)			-0.38 (-0.76 to -0.01)
H3000’s	0.29 (-0.30 to 0.88)			-0.20 (-1.8 to 1.4)			-0.39 (-1.2 to 0.39)			1.7 (-0.60 to 3.9)			0.19 (-0.60 to 0.97)			-0.10 (-0.28 to 0.08)			-0.11 (-0.46 to 0.24)
subj_char.sd__(Intercept)	0.89 (NA to NA)			2.4 (NA to NA)			1.2 (NA to NA)			2.4 (NA to NA)			1.1 (NA to NA)			0.27 (NA to NA)			0.53 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.66 (NA to NA)			0.31 (NA to NA)			4.9 (NA to NA)			0.90 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0685, R2c: 0.9203

alpha_avg_power R2m: 0.0076, R2c: 0.9302

beta_avg_power R2m: 0.0486, R2c: 0.9361

theta_div_beta R2m: 0.0469, R2c: 0.2359

log_theta_div_beta R2m: 0.1628, R2c: 0.6697

aperiodic_exp R2m: 0.1029, R2c: 0.9403

aperiodic_offset R2m: 0.0779, R2c: 0.9714 # KINEMATIC TESTS: SPEED, GROUP, INTERACTION ## LME KIN ~ 1+speed+group+speed:group

Characteristic	AP Exc. COV			AP Exc. Mean			ML Exc. COV			ML Exc. Mean			Step Dur.			UD Exc. COV			UD Exc Mean			Stance Dur.			Gait Cycle Dur.			Peak UD Vel. Mean
Cluster: 3
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	19 (16 to 21)	<0.001	<0.001	0.08 (0.08 to 0.09)	<0.001	<0.001	11 (9.3 to 13)	<0.001	<0.001	0.13 (0.12 to 0.14)	<0.001	<0.001	1.6 (1.5 to 1.6)	<0.001	<0.001	23 (21 to 24)	<0.001	<0.001	0.01 (0.00 to 0.01)	<0.001	<0.001	2.3 (2.2 to 2.4)	<0.001	<0.001	3.1 (3.0 to 3.2)	<0.001	<0.001	0.00 (-0.02 to 0.03)	0.67	0.67
speed_cond_num	-3.8 (-6.7 to -0.82)	0.012	0.016	-0.04 (-0.05 to -0.04)	<0.001	<0.001	5.1 (2.9 to 7.4)	<0.001	<0.001	-0.07 (-0.08 to -0.06)	<0.001	<0.001	-1.0 (-1.1 to -0.96)	<0.001	<0.001	-16 (-18 to -15)	<0.001	<0.001	0.03 (0.02 to 0.03)	<0.001	<0.001	-1.7 (-1.9 to -1.6)	<0.001	<0.001	-2.1 (-2.2 to -1.9)	<0.001	<0.001	0.37 (0.35 to 0.39)	<0.001	<0.001
group_char		<0.001	<0.001		<0.001	<0.001		0.002	0.002		<0.001	<0.001		<0.001	<0.001		0.34	0.34		0.28	0.28		<0.001	<0.001		<0.001	<0.001		0.20	0.26
H1000’s	—			—			—			—			—			—			—			—			—			—
H2000’s	5.9 (2.3 to 9.6)			-0.02 (-0.03 to -0.01)			-4.1 (-6.9 to -1.3)			0.03 (0.02 to 0.05)			-0.41 (-0.50 to -0.32)			1.3 (-0.80 to 3.4)			0.00 (0.00 to 0.00)			-0.62 (-0.77 to -0.47)			-0.82 (-0.99 to -0.64)			0.00 (-0.04 to 0.03)
H3000’s	10 (7.0 to 14)			-0.03 (-0.04 to -0.02)			0.50 (-2.1 to 3.2)			0.01 (-0.01 to 0.02)			-0.57 (-0.65 to -0.49)			-0.15 (-2.2 to 1.9)			0.00 (0.00 to 0.00)			-0.86 (-1.0 to -0.72)			-1.1 (-1.3 to -0.97)			0.03 (-0.01 to 0.06)
speed_cond_num * group_char		0.34	0.34		<0.001	<0.001		<0.001	<0.001		<0.001	<0.001		<0.001	<0.001		0.040	0.054		0.049	0.066		<0.001	<0.001		<0.001	<0.001		0.037	0.074
speed_cond_num * H2000’s	1.2 (-3.1 to 5.6)			0.02 (0.01 to 0.03)			7.0 (3.6 to 10)			-0.04 (-0.05 to -0.02)			0.40 (0.28 to 0.52)			-0.47 (-3.1 to 2.2)			0.00 (0.00 to 0.01)			0.63 (0.42 to 0.84)			0.79 (0.55 to 1.0)			0.04 (0.01 to 0.07)
speed_cond_num * H3000’s	-2.0 (-6.1 to 2.2)			0.02 (0.01 to 0.03)			-0.83 (-4.1 to 2.4)			-0.01 (-0.02 to 0.00)			0.54 (0.43 to 0.66)			2.6 (0.11 to 5.2)			0.00 (0.00 to 0.00)			0.87 (0.67 to 1.1)			1.1 (0.86 to 1.3)			0.00 (-0.03 to 0.03)
subj_char.sd__(Intercept)	3.6 (NA to NA)			0.01 (NA to NA)			2.7 (NA to NA)			0.02 (NA to NA)			0.06 (NA to NA)			1.9 (NA to NA)			0.00 (NA to NA)			0.08 (NA to NA)			0.12 (NA to NA)			0.04 (NA to NA)
Residual.sd__Observation	4.3 (NA to NA)			0.01 (NA to NA)			3.4 (NA to NA)			0.01 (NA to NA)			0.12 (NA to NA)			2.6 (NA to NA)			0.00 (NA to NA)			0.21 (NA to NA)			0.24 (NA to NA)			0.03 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.355, R2c: 0.6183

mean_APexc_mean R2m: 0.4444, R2c: 0.6371

mean_MLexc_COV R2m: 0.1971, R2c: 0.5162

mean_MLexc_mean R2m: 0.5324, R2c: 0.8404

mean_StepDur R2m: 0.7581, R2c: 0.8107

mean_UDexc_COV R2m: 0.647, R2c: 0.7718

mean_UDexc_mean R2m: 0.67, R2c: 0.8687

mean_StanceDur R2m: 0.7552, R2c: 0.7849

mean_GaitCycleDur R2m: 0.7579, R2c: 0.8103

mean_PeakUpDownVel_mean R2m: 0.7932, R2c: 0.9181

Characteristic	AP Exc. COV			AP Exc. Mean			ML Exc. COV			ML Exc. Mean			Step Dur.			UD Exc. COV			UD Exc Mean			Stance Dur.			Gait Cycle Dur.			Peak UD Vel. Mean
Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	17 (15 to 20)	<0.001	<0.001	0.08 (0.08 to 0.09)	<0.001	<0.001	11 (9.4 to 13)	<0.001	<0.001	0.12 (0.11 to 0.13)	<0.001	<0.001	1.6 (1.5 to 1.6)	<0.001	<0.001	23 (21 to 24)	<0.001	<0.001	0.01 (0.01 to 0.01)	<0.001	<0.001	2.3 (2.2 to 2.4)	<0.001	<0.001	3.1 (3.0 to 3.2)	<0.001	<0.001	0.01 (-0.01 to 0.03)	0.49	0.53
speed_cond_num	-2.6 (-5.5 to 0.21)	0.070	0.093	-0.04 (-0.05 to -0.04)	<0.001	<0.001	5.3 (2.9 to 7.6)	<0.001	<0.001	-0.07 (-0.08 to -0.06)	<0.001	<0.001	-1.0 (-1.1 to -0.95)	<0.001	<0.001	-16 (-18 to -14)	<0.001	<0.001	0.03 (0.02 to 0.03)	<0.001	<0.001	-1.7 (-1.9 to -1.6)	<0.001	<0.001	-2.1 (-2.2 to -1.9)	<0.001	<0.001	0.37 (0.35 to 0.39)	<0.001	<0.001
group_char		<0.001	<0.001		<0.001	<0.001		0.16	0.16		<0.001	<0.001		<0.001	<0.001		0.38	0.38		0.70	0.70		<0.001	<0.001		<0.001	<0.001		0.53	0.53
H1000’s	—			—			—			—			—			—			—			—			—			—
H2000’s	6.9 (3.3 to 11)			-0.02 (-0.03 to -0.01)			-2.9 (-6.0 to 0.25)			0.03 (0.02 to 0.05)			-0.39 (-0.49 to -0.30)			1.4 (-0.89 to 3.7)			0.00 (0.00 to 0.00)			-0.60 (-0.76 to -0.44)			-0.78 (-0.98 to -0.59)			0.00 (-0.03 to 0.04)
H3000’s	11 (7.8 to 15)			-0.03 (-0.04 to -0.02)			-0.35 (-3.3 to 2.6)			0.01 (0.00 to 0.03)			-0.57 (-0.67 to -0.48)			-0.11 (-2.3 to 2.1)			0.00 (0.00 to 0.00)			-0.88 (-1.0 to -0.73)			-1.1 (-1.3 to -0.97)			0.02 (-0.02 to 0.05)
speed_cond_num * group_char		0.43	0.43		<0.001	<0.001		0.15	0.16		<0.001	<0.001		<0.001	<0.001		0.051	0.069		0.080	0.11		<0.001	<0.001		<0.001	<0.001		0.23	0.46
speed_cond_num * H2000’s	-1.3 (-5.7 to 3.1)			0.01 (0.00 to 0.02)			2.8 (-0.79 to 6.5)			-0.03 (-0.05 to -0.02)			0.40 (0.27 to 0.52)			-1.1 (-3.9 to 1.7)			0.00 (0.00 to 0.01)			0.63 (0.40 to 0.85)			0.79 (0.53 to 1.0)			0.03 (-0.01 to 0.07)
speed_cond_num * H3000’s	-2.8 (-6.9 to 1.4)			0.03 (0.02 to 0.04)			-0.66 (-4.1 to 2.8)			-0.01 (-0.02 to 0.00)			0.55 (0.43 to 0.67)			2.4 (-0.31 to 5.1)			0.00 (0.00 to 0.00)			0.88 (0.67 to 1.1)			1.1 (0.85 to 1.3)			0.00 (-0.03 to 0.04)
subj_char.sd__(Intercept)	3.4 (NA to NA)			0.01 (NA to NA)			3.2 (NA to NA)			0.02 (NA to NA)			0.06 (NA to NA)			2.1 (NA to NA)			0.00 (NA to NA)			0.07 (NA to NA)			0.13 (NA to NA)			0.04 (NA to NA)
Residual.sd__Observation	4.1 (NA to NA)			0.01 (NA to NA)			3.4 (NA to NA)			0.01 (NA to NA)			0.12 (NA to NA)			2.7 (NA to NA)			0.00 (NA to NA)			0.21 (NA to NA)			0.25 (NA to NA)			0.03 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.3892, R2c: 0.6362

mean_APexc_mean R2m: 0.4515, R2c: 0.6687

mean_MLexc_COV R2m: 0.1227, R2c: 0.5268

mean_MLexc_mean R2m: 0.4839, R2c: 0.832

mean_StepDur R2m: 0.7498, R2c: 0.8028

mean_UDexc_COV R2m: 0.6246, R2c: 0.7702

mean_UDexc_mean R2m: 0.6755, R2c: 0.8647

mean_StanceDur R2m: 0.7496, R2c: 0.7766

mean_GaitCycleDur R2m: 0.7495, R2c: 0.8023

mean_PeakUpDownVel_mean R2m: 0.7976, R2c: 0.9169

Characteristic	AP Exc. COV			AP Exc. Mean			ML Exc. COV			ML Exc. Mean			Step Dur.			UD Exc. COV			UD Exc Mean			Stance Dur.			Gait Cycle Dur.			Peak UD Vel. Mean
Cluster: 5
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	18 (16 to 20)	<0.001	<0.001	0.08 (0.07 to 0.09)	<0.001	<0.001	11 (8.9 to 13)	<0.001	<0.001	0.12 (0.11 to 0.13)	<0.001	<0.001	1.5 (1.5 to 1.6)	<0.001	<0.001	23 (22 to 25)	<0.001	<0.001	0.01 (0.01 to 0.01)	<0.001	<0.001	2.2 (2.1 to 2.4)	<0.001	<0.001	3.0 (2.9 to 3.2)	<0.001	<0.001	0.01 (-0.01 to 0.03)	0.45	0.59
speed_cond_num	-3.1 (-6.0 to -0.12)	0.042	0.055	-0.04 (-0.05 to -0.03)	<0.001	<0.001	6.2 (3.9 to 8.5)	<0.001	<0.001	-0.07 (-0.08 to -0.06)	<0.001	<0.001	-0.99 (-1.1 to -0.90)	<0.001	<0.001	-16 (-18 to -15)	<0.001	<0.001	0.03 (0.02 to 0.03)	<0.001	<0.001	-1.6 (-1.8 to -1.5)	<0.001	<0.001	-2.0 (-2.2 to -1.8)	<0.001	<0.001	0.37 (0.34 to 0.39)	<0.001	<0.001
group_char		<0.001	<0.001		<0.001	<0.001		0.59	0.77		0.003	0.003		<0.001	<0.001		0.62	0.77		0.76	0.76		<0.001	<0.001		<0.001	<0.001		0.59	0.59
H1000’s	—			—			—			—			—			—			—			—			—			—
H2000’s	5.2 (0.31 to 10)			-0.01 (-0.02 to 0.00)			-1.9 (-6.1 to 2.3)			0.03 (0.01 to 0.06)			-0.29 (-0.42 to -0.15)			1.3 (-1.8 to 4.4)			0.00 (0.00 to 0.01)			-0.38 (-0.60 to -0.15)			-0.57 (-0.83 to -0.31)			0.01 (-0.03 to 0.06)
H3000’s	12 (7.6 to 16)			-0.03 (-0.04 to -0.02)			-1.3 (-4.7 to 2.1)			0.02 (0.00 to 0.04)			-0.57 (-0.68 to -0.46)			0.94 (-1.6 to 3.5)			0.00 (0.00 to 0.00)			-0.83 (-1.0 to -0.64)			-1.1 (-1.4 to -0.93)			0.02 (-0.02 to 0.06)
speed_cond_num * group_char		0.61	0.61		<0.001	<0.001		0.77	0.77		<0.001	<0.001		<0.001	<0.001		0.77	0.77		0.33	0.43		<0.001	<0.001		<0.001	<0.001		0.17	0.35
speed_cond_num * H2000’s	0.62 (-5.2 to 6.5)			0.01 (0.00 to 0.02)			1.6 (-3.1 to 6.3)			-0.04 (-0.06 to -0.02)			0.27 (0.09 to 0.45)			-0.48 (-4.3 to 3.4)			0.00 (0.00 to 0.00)			0.37 (0.06 to 0.68)			0.54 (0.18 to 0.90)			0.01 (-0.04 to 0.06)
speed_cond_num * H3000’s	-2.1 (-7.0 to 2.7)			0.03 (0.01 to 0.04)			0.88 (-3.0 to 4.7)			-0.02 (-0.04 to 0.00)			0.54 (0.39 to 0.68)			0.92 (-2.3 to 4.1)			0.00 (0.00 to 0.01)			0.82 (0.56 to 1.1)			1.1 (0.78 to 1.4)			0.04 (0.00 to 0.08)
subj_char.sd__(Intercept)	3.6 (NA to NA)			0.01 (NA to NA)			3.4 (NA to NA)			0.02 (NA to NA)			0.06 (NA to NA)			1.9 (NA to NA)			0.00 (NA to NA)			0.08 (NA to NA)			0.12 (NA to NA)			0.04 (NA to NA)
Residual.sd__Observation	4.1 (NA to NA)			0.01 (NA to NA)			3.3 (NA to NA)			0.01 (NA to NA)			0.12 (NA to NA)			2.7 (NA to NA)			0.00 (NA to NA)			0.22 (NA to NA)			0.25 (NA to NA)			0.03 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.4267, R2c: 0.6749

mean_APexc_mean R2m: 0.4634, R2c: 0.6678

mean_MLexc_COV R2m: 0.1464, R2c: 0.5859

mean_MLexc_mean R2m: 0.4917, R2c: 0.8558

mean_StepDur R2m: 0.7639, R2c: 0.8112

mean_UDexc_COV R2m: 0.6586, R2c: 0.7759

mean_UDexc_mean R2m: 0.6757, R2c: 0.8842

mean_StanceDur R2m: 0.7528, R2c: 0.7796

mean_GaitCycleDur R2m: 0.7642, R2c: 0.8114

mean_PeakUpDownVel_mean R2m: 0.8226, R2c: 0.9237

Characteristic	AP Exc. COV			AP Exc. Mean			ML Exc. COV			ML Exc. Mean			Step Dur.			UD Exc. COV			UD Exc Mean			Stance Dur.			Gait Cycle Dur.			Peak UD Vel. Mean
Cluster: 6
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	18 (16 to 20)	<0.001	<0.001	0.08 (0.07 to 0.09)	<0.001	<0.001	10 (8.1 to 12)	<0.001	<0.001	0.13 (0.12 to 0.14)	<0.001	<0.001	1.5 (1.5 to 1.6)	<0.001	<0.001	22 (20 to 23)	<0.001	<0.001	0.01 (0.01 to 0.01)	<0.001	<0.001	2.3 (2.2 to 2.4)	<0.001	<0.001	3.1 (3.0 to 3.2)	<0.001	<0.001	0.01 (-0.01 to 0.03)	0.38	0.48
speed_cond_num	-3.2 (-6.1 to -0.25)	0.034	0.045	-0.04 (-0.05 to -0.03)	<0.001	<0.001	6.9 (4.5 to 9.3)	<0.001	<0.001	-0.07 (-0.08 to -0.06)	<0.001	<0.001	-1.0 (-1.1 to -0.93)	<0.001	<0.001	-15 (-16 to -13)	<0.001	<0.001	0.03 (0.02 to 0.03)	<0.001	<0.001	-1.7 (-1.8 to -1.5)	<0.001	<0.001	-2.0 (-2.2 to -1.9)	<0.001	<0.001	0.36 (0.33 to 0.38)	<0.001	<0.001
group_char		<0.001	<0.001		<0.001	<0.001		0.49	0.49		0.002	0.002		<0.001	<0.001		0.009	0.013		0.58	0.58		<0.001	<0.001		<0.001	<0.001		0.48	0.48
H1000’s	—			—			—			—			—			—			—			—			—			—
H2000’s	7.8 (4.0 to 12)			-0.02 (-0.02 to -0.01)			-1.4 (-4.7 to 1.9)			0.03 (0.01 to 0.05)			-0.41 (-0.51 to -0.31)			3.4 (1.2 to 5.6)			0.00 (0.00 to 0.00)			-0.63 (-0.80 to -0.46)			-0.81 (-1.0 to -0.61)			0.00 (-0.04 to 0.03)
H3000’s	13 (9.1 to 16)			-0.02 (-0.03 to -0.01)			0.69 (-2.5 to 3.9)			0.02 (0.00 to 0.03)			-0.56 (-0.66 to -0.46)			0.66 (-1.5 to 2.8)			0.00 (0.00 to 0.00)			-0.84 (-1.0 to -0.68)			-1.1 (-1.3 to -0.92)			0.02 (-0.02 to 0.05)
speed_cond_num * group_char		0.059	0.059		0.013	0.013		0.28	0.37		<0.001	<0.001		<0.001	<0.001		0.019	0.019		0.12	0.16		<0.001	<0.001		<0.001	<0.001		0.015	0.031
speed_cond_num * H2000’s	-1.7 (-6.4 to 3.0)			0.01 (0.00 to 0.02)			1.6 (-2.2 to 5.5)			-0.03 (-0.05 to -0.02)			0.40 (0.26 to 0.54)			-3.1 (-5.7 to -0.45)			0.00 (0.00 to 0.01)			0.64 (0.40 to 0.88)			0.80 (0.52 to 1.1)			0.05 (0.01 to 0.09)
speed_cond_num * H3000’s	-5.4 (-10 to -0.93)			0.02 (0.01 to 0.03)			-1.7 (-5.4 to 2.0)			-0.02 (-0.04 to -0.01)			0.52 (0.39 to 0.65)			0.71 (-1.8 to 3.2)			0.00 (0.00 to 0.00)			0.83 (0.60 to 1.1)			1.0 (0.78 to 1.3)			0.04 (0.00 to 0.07)
subj_char.sd__(Intercept)	3.1 (NA to NA)			0.01 (NA to NA)			3.2 (NA to NA)			0.02 (NA to NA)			0.07 (NA to NA)			2.0 (NA to NA)			0.00 (NA to NA)			0.08 (NA to NA)			0.13 (NA to NA)			0.04 (NA to NA)
Residual.sd__Observation	4.2 (NA to NA)			0.01 (NA to NA)			3.4 (NA to NA)			0.01 (NA to NA)			0.12 (NA to NA)			2.4 (NA to NA)			0.00 (NA to NA)			0.21 (NA to NA)			0.24 (NA to NA)			0.03 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.4183, R2c: 0.6274

mean_APexc_mean R2m: 0.4229, R2c: 0.6528

mean_MLexc_COV R2m: 0.1481, R2c: 0.5399

mean_MLexc_mean R2m: 0.5148, R2c: 0.8356

mean_StepDur R2m: 0.7491, R2c: 0.8067

mean_UDexc_COV R2m: 0.6615, R2c: 0.8066

mean_UDexc_mean R2m: 0.7082, R2c: 0.8764

mean_StanceDur R2m: 0.7475, R2c: 0.781

mean_GaitCycleDur R2m: 0.7487, R2c: 0.8063

mean_PeakUpDownVel_mean R2m: 0.8253, R2c: 0.9217

Characteristic	AP Exc. COV			AP Exc. Mean			ML Exc. COV			ML Exc. Mean			Step Dur.			UD Exc. COV			UD Exc Mean			Stance Dur.			Gait Cycle Dur.			Peak UD Vel. Mean
Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	18 (16 to 21)	<0.001	<0.001	0.08 (0.08 to 0.09)	<0.001	<0.001	10 (8.2 to 12)	<0.001	<0.001	0.13 (0.12 to 0.14)	<0.001	<0.001	1.5 (1.5 to 1.6)	<0.001	<0.001	22 (21 to 24)	<0.001	<0.001	0.01 (0.00 to 0.01)	<0.001	<0.001	2.3 (2.2 to 2.4)	<0.001	<0.001	3.1 (3.0 to 3.2)	<0.001	<0.001	0.01 (-0.02 to 0.03)	0.61	0.61
speed_cond_num	-3.5 (-6.3 to -0.71)	0.014	0.019	-0.04 (-0.05 to -0.04)	<0.001	<0.001	5.7 (3.5 to 7.9)	<0.001	<0.001	-0.08 (-0.08 to -0.07)	<0.001	<0.001	-1.0 (-1.1 to -0.93)	<0.001	<0.001	-16 (-17 to -14)	<0.001	<0.001	0.03 (0.02 to 0.03)	<0.001	<0.001	-1.7 (-1.8 to -1.5)	<0.001	<0.001	-2.0 (-2.2 to -1.9)	<0.001	<0.001	0.37 (0.35 to 0.39)	<0.001	<0.001
group_char		<0.001	<0.001		<0.001	<0.001		0.031	0.031		0.001	0.001		<0.001	<0.001		0.24	0.24		0.46	0.46		<0.001	<0.001		<0.001	<0.001		0.31	0.61
H1000’s	—			—			—			—			—			—			—			—			—			—
H2000’s	5.8 (1.9 to 9.7)			-0.01 (-0.02 to 0.00)			-2.6 (-5.7 to 0.40)			0.03 (0.01 to 0.05)			-0.31 (-0.40 to -0.21)			2.0 (-0.36 to 4.3)			0.00 (0.00 to 0.00)			-0.48 (-0.65 to -0.32)			-0.61 (-0.81 to -0.41)			0.01 (-0.03 to 0.04)
H3000’s	11 (7.2 to 14)			-0.03 (-0.03 to -0.02)			1.5 (-1.2 to 4.2)			0.01 (-0.01 to 0.02)			-0.53 (-0.61 to -0.44)			0.41 (-1.7 to 2.5)			0.00 (0.00 to 0.00)			-0.81 (-0.95 to -0.66)			-1.1 (-1.2 to -0.88)			0.02 (-0.01 to 0.06)
speed_cond_num * group_char		0.33	0.33		<0.001	<0.001		0.002	0.002		<0.001	<0.001		<0.001	<0.001		0.023	0.031		0.33	0.44		<0.001	<0.001		<0.001	<0.001		0.49	0.61
speed_cond_num * H2000’s	0.44 (-4.1 to 5.0)			0.01 (0.00 to 0.02)			4.9 (1.3 to 8.5)			-0.03 (-0.05 to -0.02)			0.30 (0.17 to 0.43)			-2.1 (-4.9 to 0.70)			0.00 (0.00 to 0.00)			0.49 (0.26 to 0.72)			0.59 (0.33 to 0.86)			0.02 (-0.02 to 0.06)
speed_cond_num * H3000’s	-2.6 (-6.6 to 1.5)			0.02 (0.01 to 0.03)			-1.6 (-4.7 to 1.6)			-0.01 (-0.02 to 0.01)			0.51 (0.39 to 0.62)			1.9 (-0.62 to 4.3)			0.00 (0.00 to 0.00)			0.81 (0.61 to 1.0)			1.0 (0.78 to 1.2)			0.00 (-0.03 to 0.03)
subj_char.sd__(Intercept)	3.8 (NA to NA)			0.01 (NA to NA)			2.9 (NA to NA)			0.02 (NA to NA)			0.06 (NA to NA)			2.1 (NA to NA)			0.00 (NA to NA)			0.07 (NA to NA)			0.12 (NA to NA)			0.04 (NA to NA)
Residual.sd__Observation	4.1 (NA to NA)			0.01 (NA to NA)			3.2 (NA to NA)			0.01 (NA to NA)			0.12 (NA to NA)			2.5 (NA to NA)			0.00 (NA to NA)			0.21 (NA to NA)			0.24 (NA to NA)			0.03 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.3635, R2c: 0.6534

mean_APexc_mean R2m: 0.4532, R2c: 0.6742

mean_MLexc_COV R2m: 0.1656, R2c: 0.5392

mean_MLexc_mean R2m: 0.5171, R2c: 0.8469

mean_StepDur R2m: 0.7609, R2c: 0.8113

mean_UDexc_COV R2m: 0.6392, R2c: 0.7909

mean_UDexc_mean R2m: 0.67, R2c: 0.8673

mean_StanceDur R2m: 0.7607, R2c: 0.7851

mean_GaitCycleDur R2m: 0.7607, R2c: 0.8109

mean_PeakUpDownVel_mean R2m: 0.7913, R2c: 0.9204

Characteristic	AP Exc. COV			AP Exc. Mean			ML Exc. COV			ML Exc. Mean			Step Dur.			UD Exc. COV			UD Exc Mean			Stance Dur.			Gait Cycle Dur.			Peak UD Vel. Mean
Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	18 (16 to 20)	<0.001	<0.001	0.08 (0.08 to 0.09)	<0.001	<0.001	11 (9.2 to 13)	<0.001	<0.001	0.13 (0.12 to 0.14)	<0.001	<0.001	1.6 (1.5 to 1.6)	<0.001	<0.001	23 (21 to 24)	<0.001	<0.001	0.01 (0.01 to 0.01)	<0.001	<0.001	2.3 (2.2 to 2.4)	<0.001	<0.001	3.1 (3.0 to 3.2)	<0.001	<0.001	0.01 (-0.01 to 0.03)	0.37	0.37
speed_cond_num	-3.5 (-6.2 to -0.79)	0.011	0.015	-0.04 (-0.05 to -0.04)	<0.001	<0.001	5.6 (3.2 to 7.9)	<0.001	<0.001	-0.07 (-0.08 to -0.07)	<0.001	<0.001	-1.0 (-1.1 to -0.94)	<0.001	<0.001	-16 (-18 to -14)	<0.001	<0.001	0.03 (0.02 to 0.03)	<0.001	<0.001	-1.7 (-1.8 to -1.6)	<0.001	<0.001	-2.0 (-2.2 to -1.9)	<0.001	<0.001	0.36 (0.34 to 0.38)	<0.001	<0.001
group_char		<0.001	<0.001		<0.001	<0.001		0.10	0.10		<0.001	<0.001		<0.001	<0.001		0.24	0.31		0.46	0.46		<0.001	<0.001		<0.001	<0.001		0.15	0.20
H1000’s	—			—			—			—			—			—			—			—			—			—
H2000’s	6.2 (2.8 to 9.7)			-0.02 (-0.03 to -0.01)			-2.8 (-5.9 to 0.27)			0.03 (0.01 to 0.04)			-0.38 (-0.47 to -0.28)			1.8 (-0.27 to 3.9)			0.00 (0.00 to 0.00)			-0.59 (-0.74 to -0.43)			-0.75 (-0.93 to -0.57)			-0.01 (-0.04 to 0.02)
H3000’s	12 (8.2 to 15)			-0.03 (-0.04 to -0.02)			0.52 (-2.5 to 3.6)			0.01 (-0.01 to 0.02)			-0.57 (-0.66 to -0.48)			0.70 (-1.3 to 2.7)			0.00 (0.00 to 0.00)			-0.86 (-1.0 to -0.71)			-1.1 (-1.3 to -0.97)			0.02 (-0.01 to 0.05)
speed_cond_num * group_char		0.10	0.10		<0.001	<0.001		0.038	0.050		<0.001	<0.001		<0.001	<0.001		0.38	0.38		0.21	0.28		<0.001	<0.001		<0.001	<0.001		0.021	0.042
speed_cond_num * H2000’s	-0.54 (-4.8 to 3.7)			0.01 (0.00 to 0.02)			3.8 (0.10 to 7.5)			-0.03 (-0.05 to -0.02)			0.36 (0.24 to 0.49)			-1.1 (-3.7 to 1.4)			0.00 (0.00 to 0.01)			0.59 (0.37 to 0.80)			0.72 (0.47 to 0.97)			0.05 (0.01 to 0.08)
speed_cond_num * H3000’s	-4.4 (-8.6 to -0.19)			0.02 (0.01 to 0.03)			-1.1 (-4.8 to 2.5)			-0.01 (-0.02 to 0.01)			0.55 (0.43 to 0.67)			0.83 (-1.7 to 3.4)			0.00 (0.00 to 0.00)			0.87 (0.66 to 1.1)			1.1 (0.86 to 1.3)			0.02 (-0.01 to 0.05)
subj_char.sd__(Intercept)	3.1 (NA to NA)			0.01 (NA to NA)			3.1 (NA to NA)			0.02 (NA to NA)			0.06 (NA to NA)			1.9 (NA to NA)			0.00 (NA to NA)			0.07 (NA to NA)			0.12 (NA to NA)			0.04 (NA to NA)
Residual.sd__Observation	4.2 (NA to NA)			0.01 (NA to NA)			3.7 (NA to NA)			0.01 (NA to NA)			0.12 (NA to NA)			2.5 (NA to NA)			0.00 (NA to NA)			0.22 (NA to NA)			0.25 (NA to NA)			0.03 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.3778, R2c: 0.5985

mean_APexc_mean R2m: 0.4718, R2c: 0.6649

mean_MLexc_COV R2m: 0.1292, R2c: 0.4997

mean_MLexc_mean R2m: 0.5404, R2c: 0.8234

mean_StepDur R2m: 0.7605, R2c: 0.804

mean_UDexc_COV R2m: 0.6686, R2c: 0.791

mean_UDexc_mean R2m: 0.6803, R2c: 0.8807

mean_StanceDur R2m: 0.7563, R2c: 0.7775

mean_GaitCycleDur R2m: 0.7601, R2c: 0.8035

mean_PeakUpDownVel_mean R2m: 0.8225, R2c: 0.9256

Characteristic	AP Exc. COV			AP Exc. Mean			ML Exc. COV			ML Exc. Mean			Step Dur.			UD Exc. COV			UD Exc Mean			Stance Dur.			Gait Cycle Dur.			Peak UD Vel. Mean
Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	18 (14 to 22)	<0.001	<0.001	0.09 (0.08 to 0.10)	<0.001	<0.001	13 (10 to 16)	<0.001	<0.001	0.12 (0.11 to 0.14)	<0.001	<0.001	1.6 (1.5 to 1.7)	<0.001	<0.001	23 (21 to 25)	<0.001	<0.001	0.01 (0.00 to 0.01)	<0.001	<0.001	2.4 (2.3 to 2.6)	<0.001	<0.001	3.3 (3.1 to 3.4)	<0.001	<0.001	0.00 (-0.03 to 0.04)	0.89	0.89
speed_cond_num	-3.5 (-8.2 to 1.2)	0.14	0.19	-0.05 (-0.06 to -0.04)	<0.001	<0.001	3.2 (-0.20 to 6.6)	0.065	0.065	-0.07 (-0.09 to -0.06)	<0.001	<0.001	-1.1 (-1.2 to -0.99)	<0.001	<0.001	-17 (-19 to -14)	<0.001	<0.001	0.03 (0.02 to 0.03)	<0.001	<0.001	-1.8 (-2.0 to -1.6)	<0.001	<0.001	-2.2 (-2.5 to -2.0)	<0.001	<0.001	0.38 (0.35 to 0.41)	<0.001	<0.001
group_char		<0.001	0.001		<0.001	<0.001		0.027	0.035		0.017	0.017		<0.001	<0.001		0.71	0.71		0.21	0.24		<0.001	<0.001		<0.001	<0.001		0.20	0.26
H1000’s	—			—			—			—			—			—			—			—			—			—
H2000’s	7.4 (1.9 to 13)			-0.03 (-0.04 to -0.02)			-5.7 (-9.9 to -1.5)			0.02 (0.00 to 0.04)			-0.48 (-0.61 to -0.35)			1.0 (-1.9 to 3.9)			0.00 (-0.01 to 0.00)			-0.72 (-0.93 to -0.50)			-0.96 (-1.2 to -0.70)			0.00 (-0.04 to 0.05)
H3000’s	9.9 (4.7 to 15)			-0.03 (-0.05 to -0.02)			-2.0 (-5.9 to 1.9)			0.03 (0.01 to 0.05)			-0.64 (-0.76 to -0.53)			-0.11 (-2.8 to 2.6)			0.00 (0.00 to 0.01)			-0.97 (-1.2 to -0.77)			-1.3 (-1.5 to -1.1)			0.04 (-0.01 to 0.08)
speed_cond_num * group_char		0.77	0.77		<0.001	<0.001		<0.001	0.002		0.016	0.017		<0.001	<0.001		0.25	0.33		0.24	0.24		<0.001	<0.001		<0.001	<0.001		0.17	0.26
speed_cond_num * H2000’s	-1.4 (-8.4 to 5.6)			0.02 (0.01 to 0.04)			9.0 (4.0 to 14)			-0.03 (-0.05 to -0.01)			0.48 (0.30 to 0.66)			0.66 (-2.9 to 4.3)			0.00 (0.00 to 0.01)			0.73 (0.42 to 1.0)			0.96 (0.59 to 1.3)			0.02 (-0.03 to 0.07)
speed_cond_num * H3000’s	-2.4 (-8.9 to 4.1)			0.03 (0.02 to 0.05)			1.3 (-3.3 to 6.0)			-0.02 (-0.04 to 0.00)			0.65 (0.48 to 0.82)			2.7 (-0.62 to 6.1)			0.00 (-0.01 to 0.00)			1.0 (0.73 to 1.3)			1.3 (0.97 to 1.6)			-0.03 (-0.07 to 0.02)
subj_char.sd__(Intercept)	3.5 (NA to NA)			0.01 (NA to NA)			3.1 (NA to NA)			0.02 (NA to NA)			0.05 (NA to NA)			1.9 (NA to NA)			0.00 (NA to NA)			0.04 (NA to NA)			0.10 (NA to NA)			0.04 (NA to NA)
Residual.sd__Observation	4.9 (NA to NA)			0.01 (NA to NA)			3.5 (NA to NA)			0.02 (NA to NA)			0.13 (NA to NA)			2.5 (NA to NA)			0.00 (NA to NA)			0.22 (NA to NA)			0.25 (NA to NA)			0.03 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.2983, R2c: 0.5396

mean_APexc_mean R2m: 0.4817, R2c: 0.6266

mean_MLexc_COV R2m: 0.1728, R2c: 0.5337

mean_MLexc_mean R2m: 0.5342, R2c: 0.8108

mean_StepDur R2m: 0.7662, R2c: 0.7961

mean_UDexc_COV R2m: 0.6642, R2c: 0.7833

mean_UDexc_mean R2m: 0.6498, R2c: 0.8637

mean_StanceDur R2m: 0.7612, R2c: 0.7706

mean_GaitCycleDur R2m: 0.7653, R2c: 0.7952

mean_PeakUpDownVel_mean R2m: 0.7829, R2c: 0.9215

Characteristic	AP Exc. COV			AP Exc. Mean			ML Exc. COV			ML Exc. Mean			Step Dur.			UD Exc. COV			UD Exc Mean			Stance Dur.			Gait Cycle Dur.			Peak UD Vel. Mean
Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	20 (17 to 23)	<0.001	<0.001	0.08 (0.08 to 0.09)	<0.001	<0.001	12 (9.4 to 14)	<0.001	<0.001	0.13 (0.12 to 0.14)	<0.001	<0.001	1.5 (1.5 to 1.6)	<0.001	<0.001	23 (21 to 25)	<0.001	<0.001	0.01 (0.00 to 0.01)	<0.001	<0.001	2.3 (2.2 to 2.4)	<0.001	<0.001	3.1 (2.9 to 3.2)	<0.001	<0.001	0.00 (-0.03 to 0.03)	0.83	0.83
speed_cond_num	-5.2 (-9.2 to -1.3)	0.009	0.012	-0.05 (-0.05 to -0.04)	<0.001	<0.001	4.2 (1.2 to 7.2)	0.006	0.012	-0.08 (-0.09 to -0.06)	<0.001	<0.001	-1.0 (-1.1 to -0.91)	<0.001	<0.001	-17 (-19 to -14)	<0.001	<0.001	0.02 (0.02 to 0.03)	<0.001	<0.001	-1.7 (-1.8 to -1.5)	<0.001	<0.001	-2.0 (-2.2 to -1.8)	<0.001	<0.001	0.36 (0.34 to 0.39)	<0.001	<0.001
group_char		<0.001	<0.001		<0.001	<0.001		0.18	0.24		0.054	0.054		<0.001	<0.001		0.39	0.39		0.11	0.11		<0.001	<0.001		<0.001	<0.001		0.38	0.50
H1000’s	—			—			—			—			—			—			—			—			—			—
H2000’s	4.8 (-0.29 to 9.8)			-0.02 (-0.03 to -0.01)			-3.5 (-7.3 to 0.27)			0.02 (0.00 to 0.04)			-0.41 (-0.53 to -0.30)			0.77 (-1.9 to 3.5)			0.00 (-0.01 to 0.00)			-0.63 (-0.82 to -0.44)			-0.83 (-1.1 to -0.60)			-0.01 (-0.05 to 0.04)
H3000’s	9.4 (4.9 to 14)			-0.03 (-0.04 to -0.02)			-0.92 (-4.3 to 2.4)			0.01 (0.00 to 0.03)			-0.55 (-0.65 to -0.45)			-1.1 (-3.5 to 1.3)			0.00 (0.00 to 0.00)			-0.83 (-0.99 to -0.67)			-1.1 (-1.3 to -0.90)			0.02 (-0.02 to 0.06)
speed_cond_num * group_char		0.98	0.98		<0.001	<0.001		0.47	0.47		0.027	0.036		<0.001	<0.001		0.045	0.059		0.001	0.001		<0.001	<0.001		<0.001	<0.001		0.011	0.022
speed_cond_num * H2000’s	0.52 (-5.7 to 6.8)			0.02 (0.00 to 0.03)			3.0 (-1.8 to 7.7)			-0.03 (-0.05 to -0.01)			0.40 (0.25 to 0.55)			-0.31 (-3.7 to 3.1)			0.01 (0.00 to 0.01)			0.63 (0.37 to 0.90)			0.80 (0.49 to 1.1)			0.07 (0.02 to 0.11)
speed_cond_num * H3000’s	0.37 (-5.1 to 5.9)			0.02 (0.01 to 0.04)			1.4 (-2.8 to 5.6)			-0.01 (-0.03 to 0.01)			0.53 (0.39 to 0.66)			3.3 (0.29 to 6.3)			0.00 (0.00 to 0.01)			0.84 (0.60 to 1.1)			1.1 (0.78 to 1.3)			0.04 (0.00 to 0.08)
subj_char.sd__(Intercept)	3.5 (NA to NA)			0.01 (NA to NA)			2.6 (NA to NA)			0.02 (NA to NA)			0.05 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			0.05 (NA to NA)			0.11 (NA to NA)			0.04 (NA to NA)
Residual.sd__Observation	4.6 (NA to NA)			0.01 (NA to NA)			3.5 (NA to NA)			0.01 (NA to NA)			0.11 (NA to NA)			2.5 (NA to NA)			0.00 (NA to NA)			0.20 (NA to NA)			0.23 (NA to NA)			0.03 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.3663, R2c: 0.6004

mean_APexc_mean R2m: 0.4675, R2c: 0.5879

mean_MLexc_COV R2m: 0.1335, R2c: 0.4421

mean_MLexc_mean R2m: 0.5239, R2c: 0.8208

mean_StepDur R2m: 0.7736, R2c: 0.8139

mean_UDexc_COV R2m: 0.6602, R2c: 0.7763

mean_UDexc_mean R2m: 0.7349, R2c: 0.9014

mean_StanceDur R2m: 0.7755, R2c: 0.7916

mean_GaitCycleDur R2m: 0.7732, R2c: 0.8134

mean_PeakUpDownVel_mean R2m: 0.8065, R2c: 0.9316

Characteristic	AP Exc. COV			AP Exc. Mean			ML Exc. COV			ML Exc. Mean			Step Dur.			UD Exc. COV			UD Exc Mean			Stance Dur.			Gait Cycle Dur.			Peak UD Vel. Mean
Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	18 (16 to 21)	<0.001	<0.001	0.08 (0.07 to 0.09)	<0.001	<0.001	10 (8.2 to 12)	<0.001	<0.001	0.13 (0.12 to 0.14)	<0.001	<0.001	1.5 (1.5 to 1.6)	<0.001	<0.001	22 (21 to 24)	<0.001	<0.001	0.01 (0.00 to 0.01)	<0.001	<0.001	2.3 (2.2 to 2.4)	<0.001	<0.001	3.1 (2.9 to 3.2)	<0.001	<0.001	0.00 (-0.02 to 0.03)	0.82	0.82
speed_cond_num	-3.9 (-7.2 to -0.66)	0.019	0.025	-0.04 (-0.05 to -0.03)	<0.001	<0.001	6.1 (3.4 to 8.8)	<0.001	<0.001	-0.07 (-0.09 to -0.06)	<0.001	<0.001	-1.0 (-1.1 to -0.91)	<0.001	<0.001	-16 (-18 to -14)	<0.001	<0.001	0.03 (0.02 to 0.03)	<0.001	<0.001	-1.7 (-1.8 to -1.5)	<0.001	<0.001	-2.0 (-2.2 to -1.8)	<0.001	<0.001	0.37 (0.35 to 0.40)	<0.001	<0.001
group_char		<0.001	<0.001		<0.001	<0.001		<0.001	<0.001		0.001	0.001		<0.001	<0.001		0.35	0.35		0.14	0.14		<0.001	<0.001		<0.001	<0.001		0.16	0.22
H1000’s	—			—			—			—			—			—			—			—			—			—
H2000’s	5.8 (1.9 to 9.7)			-0.02 (-0.03 to -0.02)			-3.5 (-6.5 to -0.50)			0.03 (0.01 to 0.05)			-0.39 (-0.49 to -0.30)			1.5 (-0.57 to 3.6)			0.00 (-0.01 to 0.00)			-0.62 (-0.78 to -0.45)			-0.79 (-0.99 to -0.60)			0.00 (-0.04 to 0.03)
H3000’s	14 (10 to 18)			-0.03 (-0.04 to -0.02)			2.6 (-0.44 to 5.5)			0.00 (-0.01 to 0.02)			-0.64 (-0.74 to -0.54)			0.95 (-1.1 to 3.0)			0.00 (0.00 to 0.01)			-0.95 (-1.1 to -0.79)			-1.3 (-1.5 to -1.1)			0.03 (-0.01 to 0.07)
speed_cond_num * group_char		0.11	0.11		<0.001	<0.001		<0.001	<0.001		<0.001	<0.001		<0.001	<0.001		0.28	0.35		0.056	0.075		<0.001	<0.001		<0.001	<0.001		0.11	0.22
speed_cond_num * H2000’s	0.73 (-4.0 to 5.5)			0.02 (0.01 to 0.03)			4.8 (0.90 to 8.8)			-0.03 (-0.05 to -0.01)			0.40 (0.27 to 0.53)			-0.78 (-3.3 to 1.8)			0.00 (0.00 to 0.01)			0.65 (0.42 to 0.87)			0.80 (0.54 to 1.1)			0.04 (0.00 to 0.08)
speed_cond_num * H3000’s	-4.1 (-8.9 to 0.64)			0.02 (0.01 to 0.03)			-3.0 (-6.9 to 0.95)			-0.01 (-0.02 to 0.01)			0.61 (0.48 to 0.74)			1.3 (-1.2 to 3.8)			0.00 (0.00 to 0.00)			0.96 (0.74 to 1.2)			1.2 (0.96 to 1.5)			0.03 (-0.01 to 0.06)
subj_char.sd__(Intercept)	3.4 (NA to NA)			0.01 (NA to NA)			2.1 (NA to NA)			0.02 (NA to NA)			0.07 (NA to NA)			1.9 (NA to NA)			0.00 (NA to NA)			0.09 (NA to NA)			0.14 (NA to NA)			0.04 (NA to NA)
Residual.sd__Observation	4.3 (NA to NA)			0.01 (NA to NA)			3.5 (NA to NA)			0.01 (NA to NA)			0.12 (NA to NA)			2.3 (NA to NA)			0.00 (NA to NA)			0.20 (NA to NA)			0.23 (NA to NA)			0.03 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.4474, R2c: 0.6644

mean_APexc_mean R2m: 0.4207, R2c: 0.6433

mean_MLexc_COV R2m: 0.2096, R2c: 0.4145

mean_MLexc_mean R2m: 0.5172, R2c: 0.8287

mean_StepDur R2m: 0.7454, R2c: 0.8117

mean_UDexc_COV R2m: 0.6944, R2c: 0.818

mean_UDexc_mean R2m: 0.6819, R2c: 0.8938

mean_StanceDur R2m: 0.7398, R2c: 0.7837

mean_GaitCycleDur R2m: 0.7453, R2c: 0.8112

mean_PeakUpDownVel_mean R2m: 0.8057, R2c: 0.9277

Characteristic	AP Exc. COV			AP Exc. Mean			ML Exc. COV			ML Exc. Mean			Step Dur.			UD Exc. COV			UD Exc Mean			Stance Dur.			Gait Cycle Dur.			Peak UD Vel. Mean
Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	17 (14 to 20)	<0.001	<0.001	0.08 (0.08 to 0.09)	<0.001	<0.001	11 (8.8 to 13)	<0.001	<0.001	0.12 (0.11 to 0.14)	<0.001	<0.001	1.6 (1.5 to 1.7)	<0.001	<0.001	22 (21 to 24)	<0.001	<0.001	0.01 (0.01 to 0.01)	<0.001	<0.001	2.3 (2.2 to 2.5)	<0.001	<0.001	3.2 (3.0 to 3.3)	<0.001	<0.001	0.01 (-0.02 to 0.03)	0.63	0.63
speed_cond_num	-2.1 (-5.2 to 0.90)	0.17	0.17	-0.04 (-0.05 to -0.04)	<0.001	<0.001	6.0 (3.1 to 8.8)	<0.001	<0.001	-0.07 (-0.08 to -0.06)	<0.001	<0.001	-1.1 (-1.2 to -0.97)	<0.001	<0.001	-16 (-18 to -14)	<0.001	<0.001	0.03 (0.02 to 0.03)	<0.001	<0.001	-1.8 (-1.9 to -1.6)	<0.001	<0.001	-2.1 (-2.3 to -2.0)	<0.001	<0.001	0.37 (0.34 to 0.39)	<0.001	<0.001
group_char		<0.001	<0.001		<0.001	<0.001		0.10	0.10		<0.001	<0.001		<0.001	<0.001		0.21	0.21		0.90	0.90		<0.001	<0.001		<0.001	<0.001		0.52	0.63
H1000’s	—			—			—			—			—			—			—			—			—			—
H2000’s	7.9 (4.0 to 12)			-0.02 (-0.03 to -0.01)			-3.2 (-6.6 to 0.30)			0.05 (0.03 to 0.06)			-0.40 (-0.51 to -0.30)			2.1 (-0.23 to 4.5)			0.00 (0.00 to 0.00)			-0.60 (-0.77 to -0.42)			-0.80 (-1.0 to -0.59)			0.00 (-0.04 to 0.04)
H3000’s	12 (8.7 to 16)			-0.03 (-0.04 to -0.02)			0.32 (-2.9 to 3.6)			0.01 (0.00 to 0.03)			-0.58 (-0.68 to -0.49)			0.96 (-1.3 to 3.2)			0.00 (0.00 to 0.00)			-0.86 (-1.0 to -0.70)			-1.2 (-1.4 to -0.98)			0.02 (-0.02 to 0.05)
speed_cond_num * group_char		0.12	0.16		<0.001	<0.001		0.10	0.10		<0.001	<0.001		<0.001	<0.001		0.19	0.21		0.081	0.11		<0.001	<0.001		<0.001	<0.001		0.073	0.15
speed_cond_num * H2000’s	-2.0 (-6.5 to 2.6)			0.01 (0.00 to 0.03)			3.6 (-0.66 to 7.9)			-0.05 (-0.06 to -0.03)			0.41 (0.27 to 0.55)			-1.8 (-4.9 to 1.2)			0.00 (0.00 to 0.01)			0.63 (0.38 to 0.87)			0.81 (0.53 to 1.1)			0.04 (0.01 to 0.08)
speed_cond_num * H3000’s	-4.5 (-8.8 to -0.22)			0.02 (0.01 to 0.03)			-0.81 (-4.8 to 3.2)			-0.02 (-0.03 to 0.00)			0.57 (0.43 to 0.70)			0.98 (-1.9 to 3.8)			0.00 (0.00 to 0.00)			0.88 (0.65 to 1.1)			1.1 (0.87 to 1.4)			0.01 (-0.02 to 0.05)
subj_char.sd__(Intercept)	3.7 (NA to NA)			0.01 (NA to NA)			2.9 (NA to NA)			0.02 (NA to NA)			0.06 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			0.08 (NA to NA)			0.13 (NA to NA)			0.04 (NA to NA)
Residual.sd__Observation	4.0 (NA to NA)			0.01 (NA to NA)			3.7 (NA to NA)			0.01 (NA to NA)			0.12 (NA to NA)			2.7 (NA to NA)			0.00 (NA to NA)			0.21 (NA to NA)			0.24 (NA to NA)			0.03 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.3899, R2c: 0.6729

mean_APexc_mean R2m: 0.4283, R2c: 0.6298

mean_MLexc_COV R2m: 0.1505, R2c: 0.464

mean_MLexc_mean R2m: 0.5469, R2c: 0.8431

mean_StepDur R2m: 0.7552, R2c: 0.8064

mean_UDexc_COV R2m: 0.6665, R2c: 0.7672

mean_UDexc_mean R2m: 0.7024, R2c: 0.874

mean_StanceDur R2m: 0.7445, R2c: 0.7758

mean_GaitCycleDur R2m: 0.7548, R2c: 0.8057

mean_PeakUpDownVel_mean R2m: 0.8188, R2c: 0.9267

Characteristic	AP Exc. COV			AP Exc. Mean			ML Exc. COV			ML Exc. Mean			Step Dur.			UD Exc. COV			UD Exc Mean			Stance Dur.			Gait Cycle Dur.			Peak UD Vel. Mean
Cluster: 13
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	17 (14 to 20)	<0.001	<0.001	0.08 (0.08 to 0.09)	<0.001	<0.001	11 (8.7 to 13)	<0.001	<0.001	0.12 (0.11 to 0.13)	<0.001	<0.001	1.6 (1.5 to 1.7)	<0.001	<0.001	21 (20 to 23)	<0.001	<0.001	0.01 (0.00 to 0.01)	<0.001	<0.001	2.4 (2.2 to 2.5)	<0.001	<0.001	3.2 (3.0 to 3.3)	<0.001	<0.001	0.01 (-0.02 to 0.03)	0.61	0.71
speed_cond_num	-2.7 (-6.1 to 0.73)	0.12	0.16	-0.04 (-0.05 to -0.03)	<0.001	<0.001	5.4 (2.6 to 8.3)	<0.001	<0.001	-0.07 (-0.08 to -0.06)	<0.001	<0.001	-1.1 (-1.2 to -0.96)	<0.001	<0.001	-15 (-17 to -13)	<0.001	<0.001	0.03 (0.02 to 0.03)	<0.001	<0.001	-1.7 (-1.9 to -1.6)	<0.001	<0.001	-2.1 (-2.3 to -1.9)	<0.001	<0.001	0.37 (0.34 to 0.40)	<0.001	<0.001
group_char		<0.001	<0.001		<0.001	<0.001		0.39	0.52		<0.001	<0.001		<0.001	<0.001		0.27	0.27		0.39	0.39		<0.001	<0.001		<0.001	<0.001		0.46	0.71
H1000’s	—			—			—			—			—			—			—			—			—			—
H2000’s	7.5 (3.0 to 12)			-0.02 (-0.03 to -0.01)			-2.4 (-6.1 to 1.4)			0.03 (0.02 to 0.05)			-0.46 (-0.57 to -0.34)			2.2 (-0.48 to 4.8)			0.00 (-0.01 to 0.00)			-0.70 (-0.88 to -0.51)			-0.91 (-1.1 to -0.69)			0.01 (-0.03 to 0.05)
H3000’s	13 (8.3 to 17)			-0.02 (-0.03 to -0.02)			0.00 (-3.5 to 3.5)			0.03 (0.01 to 0.05)			-0.58 (-0.68 to -0.47)			1.1 (-1.4 to 3.6)			0.00 (0.00 to 0.01)			-0.87 (-1.0 to -0.70)			-1.2 (-1.4 to -0.94)			0.02 (-0.01 to 0.06)
speed_cond_num * group_char		0.68	0.68		0.004	0.004		0.57	0.57		<0.001	<0.001		<0.001	<0.001		0.18	0.24		0.082	0.11		<0.001	<0.001		<0.001	<0.001		0.71	0.71
speed_cond_num * H2000’s	-2.3 (-7.7 to 3.2)			0.02 (0.00 to 0.03)			2.3 (-2.2 to 6.8)			-0.03 (-0.05 to -0.01)			0.47 (0.32 to 0.63)			-1.8 (-5.1 to 1.5)			0.00 (0.00 to 0.01)			0.74 (0.47 to 1.0)			0.95 (0.64 to 1.3)			0.02 (-0.02 to 0.06)
speed_cond_num * H3000’s	-1.7 (-6.8 to 3.5)			0.02 (0.01 to 0.03)			0.15 (-4.1 to 4.4)			-0.03 (-0.04 to -0.01)			0.54 (0.40 to 0.69)			1.5 (-1.7 to 4.6)			0.00 (-0.01 to 0.00)			0.86 (0.61 to 1.1)			1.1 (0.80 to 1.4)			0.00 (-0.03 to 0.04)
subj_char.sd__(Intercept)	3.5 (NA to NA)			0.01 (NA to NA)			3.1 (NA to NA)			0.02 (NA to NA)			0.06 (NA to NA)			1.9 (NA to NA)			0.00 (NA to NA)			0.07 (NA to NA)			0.12 (NA to NA)			0.04 (NA to NA)
Residual.sd__Observation	4.4 (NA to NA)			0.01 (NA to NA)			3.6 (NA to NA)			0.01 (NA to NA)			0.12 (NA to NA)			2.7 (NA to NA)			0.00 (NA to NA)			0.21 (NA to NA)			0.25 (NA to NA)			0.03 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.4487, R2c: 0.665

mean_APexc_mean R2m: 0.4122, R2c: 0.6199

mean_MLexc_COV R2m: 0.1243, R2c: 0.4925

mean_MLexc_mean R2m: 0.5025, R2c: 0.8371

mean_StepDur R2m: 0.764, R2c: 0.8098

mean_UDexc_COV R2m: 0.6246, R2c: 0.7551

mean_UDexc_mean R2m: 0.6917, R2c: 0.869

mean_StanceDur R2m: 0.7644, R2c: 0.7873

mean_GaitCycleDur R2m: 0.7639, R2c: 0.8094

mean_PeakUpDownVel_mean R2m: 0.8199, R2c: 0.9173 ## LME KIN ~ 1+speed+group

Characteristic	AP Exc. COV			AP Exc. Mean			ML Exc. COV			ML Exc. Mean			Step Dur.			UD Exc. COV			UD Exc Mean			Stance Dur.			Gait Cycle Dur.			Peak UD Vel. Mean
Cluster: 3
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	19 (17 to 21)	<0.001	<0.001	0.07 (0.07 to 0.08)	<0.001	<0.001	10 (8.5 to 12)	<0.001	<0.001	0.14 (0.13 to 0.15)	<0.001	<0.001	1.4 (1.3 to 1.4)	<0.001	<0.001	22 (21 to 23)	<0.001	<0.001	0.01 (0.00 to 0.01)	<0.001	<0.001	2.0 (1.9 to 2.1)	<0.001	<0.001	2.7 (2.6 to 2.8)	<0.001	<0.001	0.00 (-0.02 to 0.02)	0.79	0.79
speed_cond_num	-4.1 (-5.8 to -2.3)	<0.001	<0.001	-0.03 (-0.04 to -0.03)	<0.001	<0.001	6.9 (5.5 to 8.3)	<0.001	<0.001	-0.09 (-0.09 to -0.08)	<0.001	<0.001	-0.73 (-0.79 to -0.67)	<0.001	<0.001	-16 (-17 to -15)	<0.001	<0.001	0.03 (0.03 to 0.03)	<0.001	<0.001	-1.2 (-1.3 to -1.1)	<0.001	<0.001	-1.5 (-1.6 to -1.3)	<0.001	<0.001	0.38 (0.37 to 0.39)	<0.001	<0.001
group_char		<0.001	<0.001		<0.001	<0.001		0.94	0.94		0.21	0.21		<0.001	<0.001		0.056	0.056		0.93	0.93		<0.001	<0.001		<0.001	<0.001		0.082	0.12
H1000’s	—			—			—			—			—			—			—			—			—			—
H2000’s	6.7 (4.3 to 9.1)			-0.01 (-0.02 to -0.01)			0.27 (-1.5 to 2.1)			0.01 (0.00 to 0.02)			-0.16 (-0.21 to -0.11)			1.0 (-0.30 to 2.3)			0.00 (0.00 to 0.00)			-0.23 (-0.30 to -0.16)			-0.32 (-0.42 to -0.22)			0.02 (0.00 to 0.05)
H3000’s	9.2 (7.0 to 11)			-0.01 (-0.02 to -0.01)			-0.03 (-1.7 to 1.7)			0.00 (-0.01 to 0.01)			-0.23 (-0.28 to -0.18)			1.5 (0.25 to 2.8)			0.00 (0.00 to 0.00)			-0.32 (-0.39 to -0.25)			-0.46 (-0.55 to -0.37)			0.03 (0.00 to 0.05)
subj_char.sd__(Intercept)	3.6 (NA to NA)			0.01 (NA to NA)			2.7 (NA to NA)			0.02 (NA to NA)			0.05 (NA to NA)			1.9 (NA to NA)			0.00 (NA to NA)			0.05 (NA to NA)			0.10 (NA to NA)			0.04 (NA to NA)
Residual.sd__Observation	4.3 (NA to NA)			0.01 (NA to NA)			3.5 (NA to NA)			0.01 (NA to NA)			0.14 (NA to NA)			2.7 (NA to NA)			0.00 (NA to NA)			0.24 (NA to NA)			0.28 (NA to NA)			0.03 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.353, R2c: 0.6173

mean_APexc_mean R2m: 0.418, R2c: 0.6034

mean_MLexc_COV R2m: 0.1598, R2c: 0.4668

mean_MLexc_mean R2m: 0.5168, R2c: 0.8199

mean_StepDur R2m: 0.6995, R2c: 0.7327

mean_UDexc_COV R2m: 0.6436, R2c: 0.7665

mean_UDexc_mean R2m: 0.6684, R2c: 0.8661

mean_StanceDur R2m: 0.7, R2c: 0.7114

mean_GaitCycleDur R2m: 0.6994, R2c: 0.7326

mean_PeakUpDownVel_mean R2m: 0.7919, R2c: 0.9163

Characteristic	AP Exc. COV			AP Exc. Mean			ML Exc. COV			ML Exc. Mean			Step Dur.			UD Exc. COV			UD Exc Mean			Stance Dur.			Gait Cycle Dur.			Peak UD Vel. Mean
Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	18 (16 to 20)	<0.001	<0.001	0.07 (0.07 to 0.08)	<0.001	<0.001	11 (9.4 to 13)	<0.001	<0.001	0.13 (0.12 to 0.14)	<0.001	<0.001	1.4 (1.3 to 1.4)	<0.001	<0.001	22 (21 to 24)	<0.001	<0.001	0.01 (0.01 to 0.01)	<0.001	<0.001	2.0 (2.0 to 2.1)	<0.001	<0.001	2.8 (2.6 to 2.9)	<0.001	<0.001	0.00 (-0.02 to 0.02)	0.82	0.82
speed_cond_num	-3.9 (-5.7 to -2.2)	<0.001	<0.001	-0.03 (-0.04 to -0.03)	<0.001	<0.001	5.9 (4.4 to 7.3)	<0.001	<0.001	-0.08 (-0.09 to -0.08)	<0.001	<0.001	-0.74 (-0.80 to -0.67)	<0.001	<0.001	-16 (-17 to -14)	<0.001	<0.001	0.03 (0.03 to 0.03)	<0.001	<0.001	-1.2 (-1.4 to -1.1)	<0.001	<0.001	-1.5 (-1.6 to -1.3)	<0.001	<0.001	0.38 (0.36 to 0.39)	<0.001	<0.001
group_char		<0.001	<0.001		<0.001	<0.001		0.57	0.57		0.20	0.20		<0.001	<0.001		0.15	0.15		0.69	0.69		<0.001	<0.001		<0.001	<0.001		0.19	0.28
H1000’s	—			—			—			—			—			—			—			—			—			—
H2000’s	6.1 (3.8 to 8.5)			-0.01 (-0.01 to 0.00)			-1.1 (-3.2 to 1.0)			0.01 (0.00 to 0.02)			-0.15 (-0.20 to -0.09)			0.73 (-0.75 to 2.2)			0.00 (0.00 to 0.00)			-0.21 (-0.29 to -0.13)			-0.29 (-0.40 to -0.19)			0.02 (-0.01 to 0.05)
H3000’s	9.5 (7.3 to 12)			-0.01 (-0.02 to -0.01)			-0.77 (-2.8 to 1.3)			0.00 (-0.01 to 0.02)			-0.23 (-0.28 to -0.18)			1.4 (-0.01 to 2.8)			0.00 (0.00 to 0.00)			-0.33 (-0.40 to -0.26)			-0.46 (-0.56 to -0.36)			0.02 (-0.01 to 0.04)
subj_char.sd__(Intercept)	3.4 (NA to NA)			0.01 (NA to NA)			3.2 (NA to NA)			0.02 (NA to NA)			0.05 (NA to NA)			2.1 (NA to NA)			0.00 (NA to NA)			0.04 (NA to NA)			0.10 (NA to NA)			0.04 (NA to NA)
Residual.sd__Observation	4.1 (NA to NA)			0.01 (NA to NA)			3.4 (NA to NA)			0.01 (NA to NA)			0.14 (NA to NA)			2.7 (NA to NA)			0.00 (NA to NA)			0.25 (NA to NA)			0.29 (NA to NA)			0.03 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.3878, R2c: 0.636

mean_APexc_mean R2m: 0.4207, R2c: 0.6297

mean_MLexc_COV R2m: 0.1167, R2c: 0.5205

mean_MLexc_mean R2m: 0.4734, R2c: 0.8186

mean_StepDur R2m: 0.6909, R2c: 0.7244

mean_UDexc_COV R2m: 0.6212, R2c: 0.7648

mean_UDexc_mean R2m: 0.674, R2c: 0.8624

mean_StanceDur R2m: 0.6939, R2c: 0.7025

mean_GaitCycleDur R2m: 0.6907, R2c: 0.7241

mean_PeakUpDownVel_mean R2m: 0.7973, R2c: 0.9164

Characteristic	AP Exc. COV			AP Exc. Mean			ML Exc. COV			ML Exc. Mean			Step Dur.			UD Exc. COV			UD Exc Mean			Stance Dur.			Gait Cycle Dur.			Peak UD Vel. Mean
Cluster: 5
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	18 (16 to 20)	<0.001	<0.001	0.07 (0.07 to 0.08)	<0.001	<0.001	11 (8.8 to 12)	<0.001	<0.001	0.13 (0.12 to 0.14)	<0.001	<0.001	1.4 (1.3 to 1.4)	<0.001	<0.001	23 (22 to 24)	<0.001	<0.001	0.01 (0.00 to 0.01)	<0.001	<0.001	2.0 (1.9 to 2.1)	<0.001	<0.001	2.8 (2.7 to 2.9)	<0.001	<0.001	0.00 (-0.02 to 0.02)	0.96	0.96
speed_cond_num	-3.6 (-5.7 to -1.5)	<0.001	<0.001	-0.03 (-0.04 to -0.03)	<0.001	<0.001	6.7 (5.1 to 8.4)	<0.001	<0.001	-0.08 (-0.09 to -0.08)	<0.001	<0.001	-0.78 (-0.85 to -0.70)	<0.001	<0.001	-16 (-18 to -15)	<0.001	<0.001	0.03 (0.03 to 0.03)	<0.001	<0.001	-1.3 (-1.4 to -1.2)	<0.001	<0.001	-1.6 (-1.7 to -1.4)	<0.001	<0.001	0.38 (0.36 to 0.40)	<0.001	<0.001
group_char		<0.001	<0.001		<0.001	<0.001		0.76	0.76		0.40	0.40		<0.001	<0.001		0.14	0.14		0.91	0.91		<0.001	<0.001		<0.001	<0.001		0.011	0.016
H1000’s	—			—			—			—			—			—			—			—			—			—
H2000’s	5.6 (2.3 to 8.9)			-0.01 (-0.01 to 0.00)			-0.94 (-3.9 to 2.1)			0.01 (-0.01 to 0.03)			-0.12 (-0.19 to -0.05)			1.0 (-0.89 to 2.9)			0.00 (0.00 to 0.00)			-0.15 (-0.25 to -0.04)			-0.23 (-0.37 to -0.09)			0.02 (-0.02 to 0.05)
H3000’s	10 (7.6 to 13)			-0.02 (-0.02 to -0.01)			-0.75 (-3.2 to 1.7)			0.01 (-0.01 to 0.02)			-0.24 (-0.29 to -0.18)			1.5 (-0.04 to 3.1)			0.00 (0.00 to 0.00)			-0.32 (-0.40 to -0.23)			-0.47 (-0.59 to -0.36)			0.04 (0.01 to 0.07)
subj_char.sd__(Intercept)	3.6 (NA to NA)			0.01 (NA to NA)			3.4 (NA to NA)			0.02 (NA to NA)			0.05 (NA to NA)			2.0 (NA to NA)			0.00 (NA to NA)			0.05 (NA to NA)			0.10 (NA to NA)			0.04 (NA to NA)
Residual.sd__Observation	4.1 (NA to NA)			0.01 (NA to NA)			3.2 (NA to NA)			0.01 (NA to NA)			0.15 (NA to NA)			2.7 (NA to NA)			0.00 (NA to NA)			0.25 (NA to NA)			0.29 (NA to NA)			0.03 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.4264, R2c: 0.6761

mean_APexc_mean R2m: 0.4298, R2c: 0.6245

mean_MLexc_COV R2m: 0.1459, R2c: 0.5886

mean_MLexc_mean R2m: 0.4794, R2c: 0.8402

mean_StepDur R2m: 0.7114, R2c: 0.7414

mean_UDexc_COV R2m: 0.6596, R2c: 0.7778

mean_UDexc_mean R2m: 0.6752, R2c: 0.8838

mean_StanceDur R2m: 0.708, R2c: 0.7202

mean_GaitCycleDur R2m: 0.7116, R2c: 0.7415

mean_PeakUpDownVel_mean R2m: 0.8218, R2c: 0.9228

Characteristic	AP Exc. COV			AP Exc. Mean			ML Exc. COV			ML Exc. Mean			Step Dur.			UD Exc. COV			UD Exc Mean			Stance Dur.			Gait Cycle Dur.			Peak UD Vel. Mean
Cluster: 6
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	19 (18 to 21)	<0.001	<0.001	0.07 (0.07 to 0.08)	<0.001	<0.001	10 (8.5 to 12)	<0.001	<0.001	0.14 (0.13 to 0.15)	<0.001	<0.001	1.4 (1.3 to 1.4)	<0.001	<0.001	22 (21 to 23)	<0.001	<0.001	0.01 (0.00 to 0.01)	<0.001	<0.001	2.0 (1.9 to 2.1)	<0.001	<0.001	2.7 (2.6 to 2.9)	<0.001	<0.001	-0.01 (-0.02 to 0.01)	0.51	0.51
speed_cond_num	-5.3 (-7.3 to -3.4)	<0.001	<0.001	-0.03 (-0.04 to -0.03)	<0.001	<0.001	6.8 (5.2 to 8.4)	<0.001	<0.001	-0.09 (-0.10 to -0.08)	<0.001	<0.001	-0.74 (-0.81 to -0.68)	<0.001	<0.001	-15 (-16 to -14)	<0.001	<0.001	0.03 (0.03 to 0.03)	<0.001	<0.001	-1.3 (-1.4 to -1.1)	<0.001	<0.001	-1.5 (-1.6 to -1.4)	<0.001	<0.001	0.38 (0.37 to 0.40)	<0.001	<0.001
group_char		<0.001	<0.001		<0.001	<0.001		0.92	0.92		0.38	0.38		<0.001	<0.001		0.11	0.11		0.77	0.77		<0.001	<0.001		<0.001	<0.001		0.004	0.005
H1000’s	—			—			—			—			—			—			—			—			—			—
H2000’s	6.8 (4.4 to 9.1)			-0.01 (-0.02 to 0.00)			-0.40 (-2.7 to 1.9)			0.01 (0.00 to 0.02)			-0.16 (-0.21 to -0.10)			1.4 (-0.04 to 2.9)			0.00 (0.00 to 0.00)			-0.23 (-0.31 to -0.14)			-0.31 (-0.43 to -0.20)			0.03 (0.00 to 0.05)
H3000’s	9.3 (7.1 to 12)			-0.01 (-0.02 to -0.01)			-0.38 (-2.5 to 1.8)			0.00 (-0.01 to 0.02)			-0.23 (-0.29 to -0.18)			1.1 (-0.30 to 2.5)			0.00 (0.00 to 0.00)			-0.32 (-0.40 to -0.24)			-0.47 (-0.58 to -0.36)			0.04 (0.02 to 0.06)
subj_char.sd__(Intercept)	3.1 (NA to NA)			0.01 (NA to NA)			3.2 (NA to NA)			0.02 (NA to NA)			0.06 (NA to NA)			2.0 (NA to NA)			0.00 (NA to NA)			0.06 (NA to NA)			0.11 (NA to NA)			0.04 (NA to NA)
Residual.sd__Observation	4.2 (NA to NA)			0.01 (NA to NA)			3.4 (NA to NA)			0.01 (NA to NA)			0.14 (NA to NA)			2.4 (NA to NA)			0.00 (NA to NA)			0.24 (NA to NA)			0.29 (NA to NA)			0.03 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.4103, R2c: 0.6191

mean_APexc_mean R2m: 0.4112, R2c: 0.6392

mean_MLexc_COV R2m: 0.144, R2c: 0.536

mean_MLexc_mean R2m: 0.5044, R2c: 0.8226

mean_StepDur R2m: 0.6946, R2c: 0.7343

mean_UDexc_COV R2m: 0.6566, R2c: 0.7996

mean_UDexc_mean R2m: 0.7068, R2c: 0.8747

mean_StanceDur R2m: 0.696, R2c: 0.7124

mean_GaitCycleDur R2m: 0.6945, R2c: 0.7342

mean_PeakUpDownVel_mean R2m: 0.823, R2c: 0.9188

Characteristic	AP Exc. COV			AP Exc. Mean			ML Exc. COV			ML Exc. Mean			Step Dur.			UD Exc. COV			UD Exc Mean			Stance Dur.			Gait Cycle Dur.			Peak UD Vel. Mean
Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	19 (17 to 21)	<0.001	<0.001	0.08 (0.07 to 0.08)	<0.001	<0.001	9.7 (8.2 to 11)	<0.001	<0.001	0.14 (0.13 to 0.15)	<0.001	<0.001	1.4 (1.3 to 1.4)	<0.001	<0.001	22 (21 to 23)	<0.001	<0.001	0.01 (0.01 to 0.01)	<0.001	<0.001	2.0 (1.9 to 2.1)	<0.001	<0.001	2.7 (2.6 to 2.8)	<0.001	<0.001	0.00 (-0.02 to 0.02)	0.75	0.75
speed_cond_num	-4.4 (-6.1 to -2.6)	<0.001	<0.001	-0.03 (-0.04 to -0.03)	<0.001	<0.001	6.3 (4.9 to 7.8)	<0.001	<0.001	-0.09 (-0.09 to -0.08)	<0.001	<0.001	-0.75 (-0.81 to -0.69)	<0.001	<0.001	-15 (-17 to -14)	<0.001	<0.001	0.03 (0.03 to 0.03)	<0.001	<0.001	-1.3 (-1.4 to -1.2)	<0.001	<0.001	-1.5 (-1.6 to -1.4)	<0.001	<0.001	0.37 (0.36 to 0.39)	<0.001	<0.001
group_char		<0.001	<0.001		<0.001	<0.001		0.85	0.85		0.46	0.46		<0.001	<0.001		0.074	0.074		0.92	0.92		<0.001	<0.001		<0.001	<0.001		0.15	0.23
H1000’s	—			—			—			—			—			—			—			—			—			—
H2000’s	6.0 (3.4 to 8.7)			-0.01 (-0.01 to 0.00)			0.42 (-1.6 to 2.5)			0.01 (-0.01 to 0.02)			-0.12 (-0.17 to -0.07)			0.66 (-0.87 to 2.2)			0.00 (0.00 to 0.00)			-0.18 (-0.26 to -0.10)			-0.24 (-0.35 to -0.13)			0.02 (-0.01 to 0.05)
H3000’s	9.0 (6.7 to 11)			-0.01 (-0.02 to -0.01)			0.49 (-1.3 to 2.3)			0.00 (-0.01 to 0.01)			-0.21 (-0.26 to -0.16)			1.6 (0.22 to 2.9)			0.00 (0.00 to 0.00)			-0.30 (-0.37 to -0.23)			-0.42 (-0.52 to -0.33)			0.02 (0.00 to 0.05)
subj_char.sd__(Intercept)	3.8 (NA to NA)			0.01 (NA to NA)			2.9 (NA to NA)			0.02 (NA to NA)			0.05 (NA to NA)			2.1 (NA to NA)			0.00 (NA to NA)			0.04 (NA to NA)			0.10 (NA to NA)			0.04 (NA to NA)
Residual.sd__Observation	4.1 (NA to NA)			0.01 (NA to NA)			3.3 (NA to NA)			0.01 (NA to NA)			0.14 (NA to NA)			2.5 (NA to NA)			0.00 (NA to NA)			0.24 (NA to NA)			0.28 (NA to NA)			0.03 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.3614, R2c: 0.6524

mean_APexc_mean R2m: 0.4336, R2c: 0.6499

mean_MLexc_COV R2m: 0.1443, R2c: 0.5116

mean_MLexc_mean R2m: 0.5057, R2c: 0.8321

mean_StepDur R2m: 0.7099, R2c: 0.7434

mean_UDexc_COV R2m: 0.6348, R2c: 0.7843

mean_UDexc_mean R2m: 0.6699, R2c: 0.8669

mean_StanceDur R2m: 0.7123, R2c: 0.7208

mean_GaitCycleDur R2m: 0.7098, R2c: 0.7432

mean_PeakUpDownVel_mean R2m: 0.7914, R2c: 0.9206

Characteristic	AP Exc. COV			AP Exc. Mean			ML Exc. COV			ML Exc. Mean			Step Dur.			UD Exc. COV			UD Exc Mean			Stance Dur.			Gait Cycle Dur.			Peak UD Vel. Mean
Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	19 (17 to 21)	<0.001	<0.001	0.08 (0.07 to 0.08)	<0.001	<0.001	11 (9.0 to 12)	<0.001	<0.001	0.14 (0.13 to 0.14)	<0.001	<0.001	1.4 (1.3 to 1.4)	<0.001	<0.001	23 (22 to 24)	<0.001	<0.001	0.01 (0.00 to 0.01)	<0.001	<0.001	2.0 (2.0 to 2.1)	<0.001	<0.001	2.8 (2.7 to 2.9)	<0.001	<0.001	0.00 (-0.02 to 0.01)	0.71	0.71
speed_cond_num	-5.0 (-6.7 to -3.2)	<0.001	<0.001	-0.03 (-0.04 to -0.03)	<0.001	<0.001	6.3 (4.8 to 7.8)	<0.001	<0.001	-0.09 (-0.09 to -0.08)	<0.001	<0.001	-0.75 (-0.81 to -0.69)	<0.001	<0.001	-16 (-17 to -15)	<0.001	<0.001	0.03 (0.03 to 0.03)	<0.001	<0.001	-1.3 (-1.4 to -1.2)	<0.001	<0.001	-1.5 (-1.6 to -1.4)	<0.001	<0.001	0.38 (0.37 to 0.39)	<0.001	<0.001
group_char		<0.001	<0.001		<0.001	<0.001		0.91	0.91		0.38	0.38		<0.001	<0.001		0.11	0.11		0.59	0.59		<0.001	<0.001		<0.001	<0.001		0.007	0.011
H1000’s	—			—			—			—			—			—			—			—			—			—
H2000’s	5.9 (3.7 to 8.0)			-0.01 (-0.01 to 0.00)			-0.46 (-2.5 to 1.6)			0.01 (0.00 to 0.02)			-0.15 (-0.20 to -0.10)			1.1 (-0.22 to 2.4)			0.00 (0.00 to 0.00)			-0.22 (-0.29 to -0.15)			-0.30 (-0.40 to -0.20)			0.02 (0.00 to 0.04)
H3000’s	8.8 (6.7 to 11)			-0.01 (-0.02 to -0.01)			-0.21 (-2.2 to 1.8)			0.00 (-0.01 to 0.01)			-0.23 (-0.28 to -0.18)			1.2 (-0.06 to 2.5)			0.00 (0.00 to 0.00)			-0.32 (-0.39 to -0.25)			-0.46 (-0.55 to -0.37)			0.04 (0.01 to 0.06)
subj_char.sd__(Intercept)	3.1 (NA to NA)			0.01 (NA to NA)			3.1 (NA to NA)			0.02 (NA to NA)			0.04 (NA to NA)			1.9 (NA to NA)			0.00 (NA to NA)			0.03 (NA to NA)			0.09 (NA to NA)			0.04 (NA to NA)
Residual.sd__Observation	4.3 (NA to NA)			0.01 (NA to NA)			3.7 (NA to NA)			0.01 (NA to NA)			0.14 (NA to NA)			2.5 (NA to NA)			0.00 (NA to NA)			0.25 (NA to NA)			0.29 (NA to NA)			0.03 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.372, R2c: 0.5928

mean_APexc_mean R2m: 0.4524, R2c: 0.6408

mean_MLexc_COV R2m: 0.1183, R2c: 0.4867

mean_MLexc_mean R2m: 0.5284, R2c: 0.8078

mean_StepDur R2m: 0.7042, R2c: 0.729

mean_UDexc_COV R2m: 0.6684, R2c: 0.7906

mean_UDexc_mean R2m: 0.6796, R2c: 0.88

mean_StanceDur R2m: 0.704, R2c: 0.7079

mean_GaitCycleDur R2m: 0.7039, R2c: 0.7286

mean_PeakUpDownVel_mean R2m: 0.8209, R2c: 0.9235

Characteristic	AP Exc. COV			AP Exc. Mean			ML Exc. COV			ML Exc. Mean			Step Dur.			UD Exc. COV			UD Exc Mean			Stance Dur.			Gait Cycle Dur.			Peak UD Vel. Mean
Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	19 (16 to 22)	<0.001	<0.001	0.08 (0.07 to 0.08)	<0.001	<0.001	11 (8.8 to 13)	<0.001	<0.001	0.14 (0.12 to 0.15)	<0.001	<0.001	1.4 (1.3 to 1.5)	<0.001	<0.001	22 (21 to 24)	<0.001	<0.001	0.01 (0.00 to 0.01)	<0.001	<0.001	2.1 (1.9 to 2.2)	<0.001	<0.001	2.8 (2.6 to 2.9)	<0.001	<0.001	0.00 (-0.02 to 0.03)	0.73	0.73
speed_cond_num	-4.8 (-7.6 to -2.1)	<0.001	<0.001	-0.03 (-0.04 to -0.03)	<0.001	<0.001	6.2 (4.2 to 8.3)	<0.001	<0.001	-0.09 (-0.10 to -0.08)	<0.001	<0.001	-0.73 (-0.82 to -0.64)	<0.001	<0.001	-15 (-17 to -14)	<0.001	<0.001	0.03 (0.02 to 0.03)	<0.001	<0.001	-1.2 (-1.4 to -1.1)	<0.001	<0.001	-1.5 (-1.6 to -1.3)	<0.001	<0.001	0.37 (0.36 to 0.39)	<0.001	<0.001
group_char		<0.001	<0.001		<0.001	<0.001		0.60	0.60		0.23	0.23		<0.001	<0.001		0.13	0.13		0.66	0.66		<0.001	<0.001		<0.001	<0.001		0.45	0.67
H1000’s	—			—			—			—			—			—			—			—			—			—
H2000’s	6.6 (3.1 to 10)			-0.01 (-0.02 to -0.01)			-0.10 (-2.9 to 2.7)			0.00 (-0.01 to 0.02)			-0.18 (-0.25 to -0.12)			1.4 (-0.37 to 3.2)			0.00 (0.00 to 0.00)			-0.26 (-0.36 to -0.16)			-0.37 (-0.49 to -0.24)			0.02 (-0.02 to 0.05)
H3000’s	8.4 (5.2 to 12)			-0.01 (-0.02 to -0.01)			-1.2 (-3.8 to 1.4)			0.01 (0.00 to 0.03)			-0.24 (-0.30 to -0.18)			1.6 (-0.05 to 3.3)			0.00 (0.00 to 0.00)			-0.34 (-0.43 to -0.24)			-0.48 (-0.60 to -0.36)			0.02 (-0.01 to 0.06)
subj_char.sd__(Intercept)	3.5 (NA to NA)			0.01 (NA to NA)			3.0 (NA to NA)			0.02 (NA to NA)			0.02 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			0.00 (NA to NA)			0.04 (NA to NA)			0.04 (NA to NA)
Residual.sd__Observation	4.8 (NA to NA)			0.01 (NA to NA)			3.7 (NA to NA)			0.02 (NA to NA)			0.15 (NA to NA)			2.5 (NA to NA)			0.00 (NA to NA)			0.25 (NA to NA)			0.31 (NA to NA)			0.03 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.2984, R2c: 0.5429

mean_APexc_mean R2m: 0.4337, R2c: 0.5655

mean_MLexc_COV R2m: 0.1306, R2c: 0.4791

mean_MLexc_mean R2m: 0.525, R2c: 0.8001

mean_StepDur R2m: 0.6874, R2c: 0.6913

mean_UDexc_COV R2m: 0.663, R2c: 0.7805

mean_UDexc_mean R2m: 0.6493, R2c: 0.8622

mean_StanceDur R2m: 0.6894, R2c: 0.6894

mean_GaitCycleDur R2m: 0.6868, R2c: 0.6909

mean_PeakUpDownVel_mean R2m: 0.7822, R2c: 0.9203

Characteristic	AP Exc. COV			AP Exc. Mean			ML Exc. COV			ML Exc. Mean			Step Dur.			UD Exc. COV			UD Exc Mean			Stance Dur.			Gait Cycle Dur.			Peak UD Vel. Mean
Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	20 (17 to 22)	<0.001	<0.001	0.07 (0.07 to 0.08)	<0.001	<0.001	11 (9.1 to 13)	<0.001	<0.001	0.14 (0.13 to 0.15)	<0.001	<0.001	1.3 (1.3 to 1.4)	<0.001	<0.001	22 (21 to 24)	<0.001	<0.001	0.01 (0.00 to 0.01)	<0.001	<0.001	2.0 (1.9 to 2.1)	<0.001	<0.001	2.7 (2.6 to 2.8)	<0.001	<0.001	-0.02 (-0.04 to 0.01)	0.18	0.18
speed_cond_num	-5.0 (-7.3 to -2.6)	<0.001	<0.001	-0.03 (-0.04 to -0.03)	<0.001	<0.001	5.4 (3.6 to 7.3)	<0.001	<0.001	-0.09 (-0.10 to -0.08)	<0.001	<0.001	-0.71 (-0.78 to -0.64)	<0.001	<0.001	-15 (-17 to -14)	<0.001	<0.001	0.03 (0.03 to 0.03)	<0.001	<0.001	-1.2 (-1.3 to -1.1)	<0.001	<0.001	-1.4 (-1.6 to -1.3)	<0.001	<0.001	0.40 (0.38 to 0.41)	<0.001	<0.001
group_char		<0.001	<0.001		<0.001	<0.001		0.32	0.32		0.55	0.55		<0.001	<0.001		0.40	0.40		0.050	0.050		<0.001	<0.001		<0.001	<0.001		0.009	0.014
H1000’s	—			—			—			—			—			—			—			—			—			—
H2000’s	5.1 (1.9 to 8.3)			-0.01 (-0.02 to -0.01)			-1.7 (-4.0 to 0.71)			0.01 (-0.01 to 0.02)			-0.16 (-0.22 to -0.10)			0.58 (-1.1 to 2.2)			0.00 (0.00 to 0.01)			-0.23 (-0.32 to -0.15)			-0.33 (-0.44 to -0.21)			0.03 (0.00 to 0.07)
H3000’s	9.6 (6.8 to 12)			-0.01 (-0.02 to -0.01)			-0.04 (-2.1 to 2.0)			0.01 (-0.01 to 0.02)			-0.22 (-0.27 to -0.17)			1.0 (-0.46 to 2.5)			0.00 (0.00 to 0.01)			-0.31 (-0.38 to -0.23)			-0.44 (-0.54 to -0.34)			0.05 (0.02 to 0.08)
subj_char.sd__(Intercept)	3.5 (NA to NA)			0.01 (NA to NA)			2.6 (NA to NA)			0.02 (NA to NA)			0.04 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			0.00 (NA to NA)			0.07 (NA to NA)			0.04 (NA to NA)
Residual.sd__Observation	4.6 (NA to NA)			0.01 (NA to NA)			3.5 (NA to NA)			0.01 (NA to NA)			0.14 (NA to NA)			2.6 (NA to NA)			0.00 (NA to NA)			0.23 (NA to NA)			0.27 (NA to NA)			0.03 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.3678, R2c: 0.6044

mean_APexc_mean R2m: 0.4328, R2c: 0.544

mean_MLexc_COV R2m: 0.1296, R2c: 0.4407

mean_MLexc_mean R2m: 0.5178, R2c: 0.8136

mean_StepDur R2m: 0.7116, R2c: 0.7314

mean_UDexc_COV R2m: 0.6551, R2c: 0.768

mean_UDexc_mean R2m: 0.7284, R2c: 0.8928

mean_StanceDur R2m: 0.7166, R2c: 0.7166

mean_GaitCycleDur R2m: 0.7115, R2c: 0.7312

mean_PeakUpDownVel_mean R2m: 0.8036, R2c: 0.928

Characteristic	AP Exc. COV			AP Exc. Mean			ML Exc. COV			ML Exc. Mean			Step Dur.			UD Exc. COV			UD Exc Mean			Stance Dur.			Gait Cycle Dur.			Peak UD Vel. Mean
Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	19 (17 to 21)	<0.001	<0.001	0.07 (0.07 to 0.08)	<0.001	<0.001	9.9 (8.3 to 11)	<0.001	<0.001	0.14 (0.13 to 0.15)	<0.001	<0.001	1.3 (1.3 to 1.4)	<0.001	<0.001	22 (21 to 23)	<0.001	<0.001	0.01 (0.00 to 0.01)	<0.001	<0.001	2.0 (1.9 to 2.0)	<0.001	<0.001	2.7 (2.5 to 2.8)	<0.001	<0.001	-0.01 (-0.03 to 0.01)	0.37	0.37
speed_cond_num	-5.0 (-7.0 to -3.1)	<0.001	<0.001	-0.03 (-0.03 to -0.02)	<0.001	<0.001	6.7 (5.0 to 8.3)	<0.001	<0.001	-0.09 (-0.09 to -0.08)	<0.001	<0.001	-0.68 (-0.74 to -0.61)	<0.001	<0.001	-16 (-17 to -15)	<0.001	<0.001	0.03 (0.03 to 0.03)	<0.001	<0.001	-1.1 (-1.3 to -1.0)	<0.001	<0.001	-1.4 (-1.5 to -1.2)	<0.001	<0.001	0.39 (0.38 to 0.41)	<0.001	<0.001
group_char		<0.001	<0.001		<0.001	<0.001		0.43	0.43		0.23	0.23		<0.001	<0.001		0.039	0.039		0.39	0.39		<0.001	<0.001		<0.001	<0.001		0.006	0.010
H1000’s	—			—			—			—			—			—			—			—			—			—
H2000’s	6.3 (3.8 to 8.8)			-0.01 (-0.02 to 0.00)			-0.46 (-2.2 to 1.2)			0.01 (0.00 to 0.02)			-0.15 (-0.20 to -0.09)			1.0 (-0.33 to 2.4)			0.00 (0.00 to 0.00)			-0.21 (-0.30 to -0.13)			-0.29 (-0.40 to -0.18)			0.02 (-0.01 to 0.05)
H3000’s	11 (8.8 to 14)			-0.01 (-0.02 to -0.01)			0.69 (-1.0 to 2.4)			0.00 (-0.01 to 0.01)			-0.26 (-0.31 to -0.20)			1.8 (0.39 to 3.1)			0.00 (0.00 to 0.00)			-0.35 (-0.44 to -0.27)			-0.52 (-0.63 to -0.40)			0.05 (0.02 to 0.08)
subj_char.sd__(Intercept)	3.4 (NA to NA)			0.01 (NA to NA)			2.0 (NA to NA)			0.02 (NA to NA)			0.05 (NA to NA)			1.9 (NA to NA)			0.00 (NA to NA)			0.06 (NA to NA)			0.11 (NA to NA)			0.04 (NA to NA)
Residual.sd__Observation	4.3 (NA to NA)			0.01 (NA to NA)			3.7 (NA to NA)			0.01 (NA to NA)			0.14 (NA to NA)			2.3 (NA to NA)			0.00 (NA to NA)			0.24 (NA to NA)			0.28 (NA to NA)			0.03 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.4423, R2c: 0.6587

mean_APexc_mean R2m: 0.3856, R2c: 0.5978

mean_MLexc_COV R2m: 0.1738, R2c: 0.369

mean_MLexc_mean R2m: 0.5071, R2c: 0.8159

mean_StepDur R2m: 0.6736, R2c: 0.7162

mean_UDexc_COV R2m: 0.6935, R2c: 0.8172

mean_UDexc_mean R2m: 0.6799, R2c: 0.8914

mean_StanceDur R2m: 0.6717, R2c: 0.6931

mean_GaitCycleDur R2m: 0.6735, R2c: 0.7157

mean_PeakUpDownVel_mean R2m: 0.8048, R2c: 0.9266

Characteristic	AP Exc. COV			AP Exc. Mean			ML Exc. COV			ML Exc. Mean			Step Dur.			UD Exc. COV			UD Exc Mean			Stance Dur.			Gait Cycle Dur.			Peak UD Vel. Mean
Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	18 (16 to 21)	<0.001	<0.001	0.08 (0.07 to 0.08)	<0.001	<0.001	11 (8.8 to 12)	<0.001	<0.001	0.14 (0.13 to 0.15)	<0.001	<0.001	1.4 (1.3 to 1.4)	<0.001	<0.001	22 (21 to 24)	<0.001	<0.001	0.01 (0.00 to 0.01)	<0.001	<0.001	2.0 (1.9 to 2.1)	<0.001	<0.001	2.8 (2.7 to 2.9)	<0.001	<0.001	0.00 (-0.03 to 0.02)	0.64	0.64
speed_cond_num	-4.3 (-6.1 to -2.5)	<0.001	<0.001	-0.03 (-0.04 to -0.03)	<0.001	<0.001	6.7 (5.0 to 8.4)	<0.001	<0.001	-0.09 (-0.10 to -0.08)	<0.001	<0.001	-0.75 (-0.81 to -0.68)	<0.001	<0.001	-16 (-17 to -15)	<0.001	<0.001	0.03 (0.03 to 0.03)	<0.001	<0.001	-1.3 (-1.4 to -1.1)	<0.001	<0.001	-1.5 (-1.6 to -1.4)	<0.001	<0.001	0.39 (0.37 to 0.40)	<0.001	<0.001
group_char		<0.001	<0.001		<0.001	<0.001		0.71	0.71		0.029	0.029		<0.001	<0.001		0.060	0.060		0.40	0.40		<0.001	<0.001		<0.001	<0.001		0.065	0.10
H1000’s	—			—			—			—			—			—			—			—			—			—
H2000’s	6.7 (4.0 to 9.4)			-0.01 (-0.01 to 0.00)			-0.89 (-3.1 to 1.3)			0.02 (0.00 to 0.03)			-0.15 (-0.20 to -0.09)			1.0 (-0.40 to 2.4)			0.00 (0.00 to 0.00)			-0.21 (-0.29 to -0.12)			-0.30 (-0.41 to -0.18)			0.03 (0.00 to 0.05)
H3000’s	9.6 (7.1 to 12)			-0.01 (-0.02 to -0.01)			-0.20 (-2.2 to 1.8)			0.00 (-0.01 to 0.02)			-0.23 (-0.28 to -0.18)			1.6 (0.26 to 2.9)			0.00 (0.00 to 0.00)			-0.32 (-0.40 to -0.24)			-0.46 (-0.57 to -0.36)			0.03 (0.00 to 0.05)
subj_char.sd__(Intercept)	3.7 (NA to NA)			0.01 (NA to NA)			2.8 (NA to NA)			0.02 (NA to NA)			0.05 (NA to NA)			1.7 (NA to NA)			0.00 (NA to NA)			0.05 (NA to NA)			0.10 (NA to NA)			0.04 (NA to NA)
Residual.sd__Observation	4.0 (NA to NA)			0.01 (NA to NA)			3.8 (NA to NA)			0.02 (NA to NA)			0.14 (NA to NA)			2.7 (NA to NA)			0.00 (NA to NA)			0.25 (NA to NA)			0.29 (NA to NA)			0.03 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.3847, R2c: 0.6681

mean_APexc_mean R2m: 0.4066, R2c: 0.6029

mean_MLexc_COV R2m: 0.141, R2c: 0.4532

mean_MLexc_mean R2m: 0.5276, R2c: 0.8179

mean_StepDur R2m: 0.6952, R2c: 0.7265

mean_UDexc_COV R2m: 0.6649, R2c: 0.7648

mean_UDexc_mean R2m: 0.7006, R2c: 0.8717

mean_StanceDur R2m: 0.6903, R2c: 0.7037

mean_GaitCycleDur R2m: 0.6949, R2c: 0.7261

mean_PeakUpDownVel_mean R2m: 0.8178, R2c: 0.9253

Characteristic	AP Exc. COV			AP Exc. Mean			ML Exc. COV			ML Exc. Mean			Step Dur.			UD Exc. COV			UD Exc Mean			Stance Dur.			Gait Cycle Dur.			Peak UD Vel. Mean
Cluster: 13
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	18 (16 to 20)	<0.001	<0.001	0.08 (0.07 to 0.08)	<0.001	<0.001	11 (8.7 to 13)	<0.001	<0.001	0.13 (0.12 to 0.14)	<0.001	<0.001	1.4 (1.3 to 1.5)	<0.001	<0.001	21 (20 to 23)	<0.001	<0.001	0.01 (0.00 to 0.01)	<0.001	<0.001	2.1 (2.0 to 2.2)	<0.001	<0.001	2.8 (2.7 to 2.9)	<0.001	<0.001	0.00 (-0.02 to 0.02)	0.82	0.82
speed_cond_num	-3.8 (-6.0 to -1.7)	<0.001	<0.001	-0.03 (-0.04 to -0.03)	<0.001	<0.001	6.1 (4.3 to 7.9)	<0.001	<0.001	-0.08 (-0.09 to -0.08)	<0.001	<0.001	-0.76 (-0.83 to -0.68)	<0.001	<0.001	-15 (-16 to -13)	<0.001	<0.001	0.03 (0.03 to 0.03)	<0.001	<0.001	-1.3 (-1.4 to -1.1)	<0.001	<0.001	-1.5 (-1.7 to -1.4)	<0.001	<0.001	0.38 (0.36 to 0.39)	<0.001	<0.001
group_char		<0.001	<0.001		<0.001	<0.001		0.68	0.68		0.080	0.080		<0.001	<0.001		0.040	0.040		0.86	0.86		<0.001	<0.001		<0.001	<0.001		0.12	0.18
H1000’s	—			—			—			—			—			—			—			—			—			—
H2000’s	6.1 (3.2 to 9.0)			-0.01 (-0.02 to 0.00)			-0.97 (-3.5 to 1.5)			0.02 (0.00 to 0.03)			-0.16 (-0.22 to -0.10)			1.0 (-0.62 to 2.7)			0.00 (0.00 to 0.00)			-0.24 (-0.32 to -0.15)			-0.32 (-0.44 to -0.20)			0.02 (-0.01 to 0.05)
H3000’s	11 (8.8 to 14)			-0.01 (-0.02 to -0.01)			0.10 (-2.2 to 2.4)			0.01 (0.00 to 0.03)			-0.24 (-0.29 to -0.18)			2.0 (0.45 to 3.5)			0.00 (0.00 to 0.00)			-0.34 (-0.42 to -0.25)			-0.48 (-0.59 to -0.36)			0.03 (0.00 to 0.05)
subj_char.sd__(Intercept)	3.5 (NA to NA)			0.01 (NA to NA)			3.1 (NA to NA)			0.02 (NA to NA)			0.05 (NA to NA)			1.9 (NA to NA)			0.00 (NA to NA)			0.03 (NA to NA)			0.09 (NA to NA)			0.04 (NA to NA)
Residual.sd__Observation	4.3 (NA to NA)			0.01 (NA to NA)			3.6 (NA to NA)			0.01 (NA to NA)			0.15 (NA to NA)			2.7 (NA to NA)			0.00 (NA to NA)			0.25 (NA to NA)			0.30 (NA to NA)			0.03 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.4489, R2c: 0.6667

mean_APexc_mean R2m: 0.3918, R2c: 0.5943

mean_MLexc_COV R2m: 0.122, R2c: 0.4929

mean_MLexc_mean R2m: 0.4914, R2c: 0.8231

mean_StepDur R2m: 0.7023, R2c: 0.7278

mean_UDexc_COV R2m: 0.6218, R2c: 0.7521

mean_UDexc_mean R2m: 0.6892, R2c: 0.8661

mean_StanceDur R2m: 0.707, R2c: 0.7109

mean_GaitCycleDur R2m: 0.7023, R2c: 0.7275

mean_PeakUpDownVel_mean R2m: 0.8203, R2c: 0.918 # EEG TESTS: KINEMATIC, GROUP, INTERACTION ## LME EEG ~ 1+kin+group+kin:group

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_avg_power for Cluster: 3
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.30 (-0.18 to 0.77)	0.22	0.44	4.3 (3.3 to 5.2)	<0.001	<0.001	2.7 (2.2 to 3.2)	<0.001	<0.001	0.12 (-3.3 to 3.5)	0.95	0.95	2.0 (0.82 to 3.1)	<0.001	0.003	1.2 (1.1 to 1.3)	<0.001	<0.001	-0.64 (-0.86 to -0.41)	<0.001	<0.001
mean_APexc_COV	0.01 (-0.01 to 0.03)	0.47	0.63	0.01 (-0.03 to 0.05)	0.69	0.76	-0.01 (-0.03 to 0.01)	0.26	0.34	0.01 (-0.20 to 0.21)	0.95	0.95	-0.02 (-0.08 to 0.05)	0.62	0.82	0.00 (0.00 to 0.01)	0.25	0.33	0.00 (0.00 to 0.01)	0.30	0.40
group_char		0.060	0.24		0.089	0.18		0.004	0.009		0.75	0.95		0.33	0.66		0.064	0.13		0.036	0.072
H1000’s	—			—			—			—			—			—			—
H2000’s	0.32 (-0.44 to 1.1)			-1.3 (-2.8 to 0.21)			-0.98 (-1.8 to -0.19)			0.55 (-4.8 to 5.9)			-0.77 (-2.6 to 1.1)			-0.06 (-0.26 to 0.14)			-0.21 (-0.56 to 0.13)
H3000’s	0.83 (0.14 to 1.5)			-1.4 (-2.8 to -0.04)			-1.1 (-1.9 to -0.41)			-1.3 (-5.8 to 3.3)			-1.2 (-2.9 to 0.41)			0.16 (-0.02 to 0.34)			0.24 (-0.08 to 0.56)
mean_APexc_COV * group_char		0.77	0.77		0.76	0.76		0.49	0.49		0.64	0.95		0.97	0.97		0.91	0.91		0.80	0.80
mean_APexc_COV * H2000’s	0.01 (-0.02 to 0.04)			0.00 (-0.06 to 0.05)			0.01 (-0.01 to 0.04)			-0.01 (-0.28 to 0.26)			0.01 (-0.08 to 0.09)			0.00 (-0.01 to 0.01)			0.00 (-0.01 to 0.01)
mean_APexc_COV * H3000’s	0.01 (-0.02 to 0.04)			0.01 (-0.03 to 0.06)			0.01 (-0.01 to 0.04)			0.08 (-0.16 to 0.31)			0.01 (-0.07 to 0.08)			0.00 (-0.01 to 0.01)			0.00 (-0.01 to 0.01)
subj_char.sd__(Intercept)	0.82 (NA to NA)			1.9 (NA to NA)			1.0 (NA to NA)			0.00 (NA to NA)			1.3 (NA to NA)			0.26 (NA to NA)			0.50 (NA to NA)
Residual.sd__Observation	0.38 (NA to NA)			0.65 (NA to NA)			0.33 (NA to NA)			4.4 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.12 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.2267, R2c: 0.8634

alpha_avg_power R2m: 0.0772, R2c: 0.9054

beta_avg_power R2m: 0.1218, R2c: 0.9167

theta_div_beta R2m: 0.0127, R2c: 0.0127

log_theta_div_beta R2m: 0.0755, R2c: 0.6127

aperiodic_exp R2m: 0.1349, R2c: 0.9264

aperiodic_offset R2m: 0.1495, R2c: 0.9504

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in alpha_avg_power for Cluster: 3
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.41 (-0.02 to 0.83)	0.059	0.12	4.0 (3.2 to 4.9)	<0.001	<0.001	2.5 (2.0 to 2.9)	<0.001	<0.001	0.12 (-2.9 to 3.2)	0.94	0.95	1.0 (0.09 to 2.0)	0.033	0.13	1.2 (1.1 to 1.3)	<0.001	<0.001	-0.60 (-0.81 to -0.39)	<0.001	<0.001
mean_APexc_mean	0.35 (-4.6 to 5.3)	0.89	0.89	6.6 (-1.8 to 15)	0.12	0.16	0.99 (-3.3 to 5.3)	0.65	0.65	1.6 (-52 to 55)	0.95	0.95	12 (-2.3 to 26)	0.10	0.20	0.43 (-0.60 to 1.5)	0.41	0.41	0.47 (-1.1 to 2.1)	0.56	0.56
group_char		0.009	0.037		0.072	0.14		0.005	0.009		0.86	0.95		0.88	0.88		0.028	0.055		0.007	0.013
H1000’s	—			—			—			—			—			—			—
H2000’s	0.61 (-0.01 to 1.2)			-1.4 (-2.7 to -0.13)			-1.0 (-1.7 to -0.33)			-0.24 (-4.4 to 3.9)			-0.11 (-1.5 to 1.3)			-0.09 (-0.26 to 0.08)			-0.27 (-0.58 to 0.05)
H3000’s	0.91 (0.32 to 1.5)			-1.1 (-2.3 to 0.15)			-0.89 (-1.5 to -0.24)			0.72 (-3.1 to 4.6)			-0.34 (-1.7 to 0.98)			0.14 (-0.02 to 0.30)			0.24 (-0.06 to 0.53)
mean_APexc_mean * group_char		0.29	0.39		0.88	0.88		0.23	0.30		0.93	0.95		0.37	0.49		0.38	0.41		0.52	0.56
mean_APexc_mean * H2000’s	-0.86 (-9.1 to 7.4)			3.2 (-11 to 17)			6.0 (-1.2 to 13)			15 (-66 to 96)			-11 (-34 to 13)			0.52 (-1.2 to 2.2)			0.75 (-1.9 to 3.4)
mean_APexc_mean * H3000’s	5.7 (-2.4 to 14)			2.6 (-11 to 16)			0.36 (-6.7 to 7.4)			2.3 (-74 to 78)			-16 (-39 to 7.2)			1.2 (-0.49 to 2.9)			1.5 (-1.1 to 4.2)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.9 (NA to NA)			1.0 (NA to NA)			0.00 (NA to NA)			1.3 (NA to NA)			0.26 (NA to NA)			0.50 (NA to NA)
Residual.sd__Observation	0.38 (NA to NA)			0.64 (NA to NA)			0.33 (NA to NA)			4.4 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.12 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.218, R2c: 0.8641

alpha_avg_power R2m: 0.0792, R2c: 0.9084

beta_avg_power R2m: 0.1232, R2c: 0.9188

theta_div_beta R2m: 0.0067, R2c: 0.0067

log_theta_div_beta R2m: 0.079, R2c: 0.6153

aperiodic_exp R2m: 0.1343, R2c: 0.9289

aperiodic_offset R2m: 0.1477, R2c: 0.9514

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in beta_avg_power for Cluster: 3
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.27 (-0.20 to 0.73)	0.26	0.48	4.4 (3.4 to 5.3)	<0.001	<0.001	2.6 (2.1 to 3.1)	<0.001	<0.001	0.12 (-2.5 to 2.8)	0.93	0.95	2.2 (1.1 to 3.3)	<0.001	<0.001	1.3 (1.1 to 1.4)	<0.001	<0.001	-0.60 (-0.82 to -0.38)	<0.001	<0.001
mean_MLexc_COV	0.01 (-0.01 to 0.03)	0.36	0.48	0.00 (-0.04 to 0.04)	0.94	0.94	-0.01 (-0.03 to 0.01)	0.43	0.58	0.01 (-0.17 to 0.18)	0.95	0.95	-0.03 (-0.10 to 0.03)	0.29	0.29	0.00 (0.00 to 0.01)	0.91	0.91	0.00 (-0.01 to 0.01)	0.62	0.73
group_char		<0.001	<0.001		0.42	0.56		0.068	0.14		0.91	0.95		0.025	0.051		0.004	0.008		0.003	0.005
H1000’s	—			—			—			—			—			—			—
H2000’s	0.69 (0.05 to 1.3)			-0.87 (-2.2 to 0.46)			-0.60 (-1.3 to 0.09)			0.66 (-3.1 to 4.4)			-1.7 (-3.1 to -0.24)			-0.04 (-0.22 to 0.13)			-0.19 (-0.50 to 0.13)
H3000’s	1.4 (0.74 to 2.0)			-0.60 (-1.9 to 0.69)			-0.76 (-1.4 to -0.09)			-0.11 (-4.0 to 3.7)			-1.8 (-3.3 to -0.38)			0.23 (0.05 to 0.40)			0.35 (0.04 to 0.65)
mean_MLexc_COV * group_char		0.56	0.56		0.39	0.56		0.71	0.71		0.81	0.95		0.28	0.29		0.71	0.91		0.73	0.73
mean_MLexc_COV * H2000’s	-0.01 (-0.04 to 0.02)			-0.03 (-0.08 to 0.02)			-0.01 (-0.04 to 0.02)			-0.02 (-0.27 to 0.23)			0.07 (-0.02 to 0.15)			0.00 (-0.01 to 0.00)			0.00 (-0.01 to 0.01)
mean_MLexc_COV * H3000’s	-0.02 (-0.05 to 0.01)			-0.03 (-0.09 to 0.02)			-0.01 (-0.04 to 0.02)			0.06 (-0.19 to 0.32)			0.05 (-0.04 to 0.13)			0.00 (-0.01 to 0.00)			0.00 (-0.01 to 0.01)
subj_char.sd__(Intercept)	0.82 (NA to NA)			1.9 (NA to NA)			1.0 (NA to NA)			0.00 (NA to NA)			1.3 (NA to NA)			0.26 (NA to NA)			0.50 (NA to NA)
Residual.sd__Observation	0.38 (NA to NA)			0.64 (NA to NA)			0.33 (NA to NA)			4.4 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.12 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.2189, R2c: 0.8604

alpha_avg_power R2m: 0.0788, R2c: 0.9076

beta_avg_power R2m: 0.1262, R2c: 0.9186

theta_div_beta R2m: 0.0076, R2c: 0.0076

log_theta_div_beta R2m: 0.0793, R2c: 0.6245

aperiodic_exp R2m: 0.1317, R2c: 0.9269

aperiodic_offset R2m: 0.147, R2c: 0.9502

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_div_beta for Cluster: 3
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.46 (0.05 to 0.87)	0.027	0.053	4.1 (3.2 to 4.9)	<0.001	<0.001	2.4 (2.0 to 2.9)	<0.001	<0.001	0.21 (-2.4 to 2.8)	0.88	0.99	0.80 (-0.11 to 1.7)	0.085	0.11	1.2 (1.1 to 1.4)	<0.001	<0.001	-0.58 (-0.78 to -0.37)	<0.001	<0.001
mean_MLexc_mean	-0.44 (-3.6 to 2.7)	0.78	0.78	4.1 (-1.2 to 9.5)	0.13	0.17	1.3 (-1.5 to 4.0)	0.37	0.49	0.05 (-30 to 30)	0.99	0.99	11 (2.1 to 20)	0.015	0.061	0.11 (-0.51 to 0.73)	0.73	0.73	0.02 (-0.98 to 1.0)	0.98	0.98
group_char		0.022	0.053		0.050	0.10		0.007	0.014		0.96	0.99		0.70	0.70		0.11	0.15		0.019	0.026
H1000’s	—			—			—			—			—			—			—
H2000’s	0.51 (-0.06 to 1.1)			-1.4 (-2.7 to -0.20)			-0.90 (-1.6 to -0.25)			0.12 (-3.3 to 3.6)			0.39 (-0.85 to 1.6)			-0.11 (-0.27 to 0.06)			-0.29 (-0.60 to 0.01)
H3000’s	0.78 (0.22 to 1.3)			-1.2 (-2.4 to 0.02)			-0.88 (-1.5 to -0.26)			0.46 (-2.9 to 3.8)			-0.09 (-1.3 to 1.1)			0.07 (-0.09 to 0.23)			0.13 (-0.16 to 0.42)
mean_MLexc_mean * group_char		0.064	0.085		0.94	0.94		0.60	0.60		0.98	0.99		0.042	0.083		0.001	0.002		0.007	0.014
mean_MLexc_mean * H2000’s	0.68 (-3.2 to 4.6)			0.42 (-6.2 to 7.0)			1.3 (-2.0 to 4.7)			2.9 (-35 to 41)			-13 (-24 to -2.2)			0.39 (-0.38 to 1.2)			0.60 (-0.62 to 1.8)
mean_MLexc_mean * H3000’s	4.2 (0.14 to 8.3)			1.2 (-5.8 to 8.1)			-0.04 (-3.6 to 3.5)			3.9 (-34 to 42)			-13 (-25 to -1.3)			1.4 (0.59 to 2.2)			1.9 (0.65 to 3.2)
subj_char.sd__(Intercept)	0.82 (NA to NA)			1.9 (NA to NA)			1.0 (NA to NA)			0.00 (NA to NA)			1.3 (NA to NA)			0.27 (NA to NA)			0.50 (NA to NA)
Residual.sd__Observation	0.38 (NA to NA)			0.64 (NA to NA)			0.33 (NA to NA)			4.4 (NA to NA)			1.1 (NA to NA)			0.07 (NA to NA)			0.12 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.2259, R2c: 0.8629

alpha_avg_power R2m: 0.0821, R2c: 0.9093

beta_avg_power R2m: 0.1246, R2c: 0.919

theta_div_beta R2m: 0.0064, R2c: 0.0064

log_theta_div_beta R2m: 0.0861, R2c: 0.6216

aperiodic_exp R2m: 0.1428, R2c: 0.9377

aperiodic_offset R2m: 0.1516, R2c: 0.9555

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in log_theta_div_beta for Cluster: 3
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.47 (0.09 to 0.85)	0.016	0.065	4.0 (3.2 to 4.8)	<0.001	<0.001	2.4 (2.0 to 2.8)	<0.001	<0.001	0.24 (-2.2 to 2.7)	0.85	0.99	1.3 (0.54 to 2.2)	0.001	0.004	1.3 (1.2 to 1.4)	<0.001	<0.001	-0.57 (-0.77 to -0.36)	<0.001	<0.001
mean_StepDur	-0.05 (-0.27 to 0.18)	0.68	0.68	0.43 (0.06 to 0.80)	0.022	0.030	0.14 (-0.06 to 0.33)	0.17	0.22	-0.03 (-2.6 to 2.5)	0.98	0.99	0.39 (-0.27 to 1.0)	0.25	0.50	0.00 (-0.05 to 0.04)	0.86	0.86	-0.01 (-0.08 to 0.06)	0.79	0.79
group_char		0.033	0.066		0.015	0.030		0.003	0.006		0.89	0.99		0.72	0.72		0.14	0.19		0.028	0.038
H1000’s	—			—			—			—			—			—			—
H2000’s	0.59 (-0.01 to 1.2)			-1.5 (-2.8 to -0.24)			-0.99 (-1.7 to -0.33)			0.30 (-3.8 to 4.4)			-0.12 (-1.4 to 1.2)			-0.13 (-0.30 to 0.04)			-0.32 (-0.62 to -0.01)
H3000’s	0.72 (0.13 to 1.3)			-1.6 (-2.8 to -0.37)			-0.92 (-1.6 to -0.28)			0.95 (-3.0 to 4.9)			-0.54 (-1.8 to 0.77)			0.04 (-0.12 to 0.20)			0.10 (-0.20 to 0.39)
mean_StepDur * group_char		0.058	0.077		0.10	0.10		0.25	0.25		0.99	0.99		0.41	0.55		<0.001	<0.001		0.002	0.005
mean_StepDur * H2000’s	-0.03 (-0.48 to 0.42)			0.29 (-0.46 to 1.0)			0.33 (-0.06 to 0.72)			0.12 (-4.8 to 5.1)			-0.71 (-2.0 to 0.61)			0.08 (-0.01 to 0.17)			0.10 (-0.04 to 0.24)
mean_StepDur * H3000’s	0.59 (0.09 to 1.1)			0.89 (0.07 to 1.7)			0.10 (-0.34 to 0.53)			-0.24 (-5.3 to 4.8)			-0.76 (-2.2 to 0.68)			0.21 (0.11 to 0.32)			0.28 (0.12 to 0.44)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.9 (NA to NA)			1.0 (NA to NA)			0.00 (NA to NA)			1.3 (NA to NA)			0.27 (NA to NA)			0.50 (NA to NA)
Residual.sd__Observation	0.38 (NA to NA)			0.62 (NA to NA)			0.33 (NA to NA)			4.4 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.12 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.2182, R2c: 0.8656

alpha_avg_power R2m: 0.0831, R2c: 0.9143

beta_avg_power R2m: 0.1249, R2c: 0.92

theta_div_beta R2m: 0.0059, R2c: 0.0059

log_theta_div_beta R2m: 0.0778, R2c: 0.6147

aperiodic_exp R2m: 0.136, R2c: 0.935

aperiodic_offset R2m: 0.1484, R2c: 0.9543

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_exp for Cluster: 3
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.44 (0.08 to 0.81)	0.017	0.034	4.3 (3.5 to 5.1)	<0.001	<0.001	2.5 (2.1 to 2.9)	<0.001	<0.001	0.19 (-1.8 to 2.2)	0.85	0.99	1.4 (0.71 to 2.2)	<0.001	<0.001	1.3 (1.1 to 1.4)	<0.001	<0.001	-0.57 (-0.77 to -0.38)	<0.001	<0.001
mean_UDexc_COV	0.00 (-0.02 to 0.01)	0.83	0.83	0.01 (-0.01 to 0.04)	0.34	0.46	0.00 (-0.01 to 0.01)	0.89	0.89	0.00 (-0.15 to 0.15)	0.99	0.99	0.02 (-0.02 to 0.06)	0.34	0.50	0.00 (0.00 to 0.00)	0.86	0.86	0.00 (0.00 to 0.00)	0.97	0.97
group_char		0.009	0.034		0.019	0.039		0.003	0.006		0.58	0.99		0.56	0.56		0.27	0.36		0.056	0.075
H1000’s	—			—			—			—			—			—			—
H2000’s	0.54 (0.00 to 1.1)			-1.5 (-2.7 to -0.33)			-0.92 (-1.6 to -0.29)			0.20 (-2.9 to 3.3)			-0.27 (-1.4 to 0.85)			-0.09 (-0.25 to 0.06)			-0.27 (-0.57 to 0.02)
H3000’s	0.82 (0.28 to 1.4)			-1.4 (-2.5 to -0.20)			-0.92 (-1.5 to -0.31)			-1.4 (-4.6 to 1.7)			-0.62 (-1.7 to 0.51)			0.03 (-0.12 to 0.19)			0.08 (-0.21 to 0.36)
mean_UDexc_COV * group_char		0.079	0.11		0.56	0.56		0.43	0.57		0.32	0.99		0.37	0.50		<0.001	<0.001		<0.001	<0.001
mean_UDexc_COV * H2000’s	0.00 (-0.02 to 0.02)			0.01 (-0.02 to 0.05)			0.01 (-0.01 to 0.03)			0.01 (-0.20 to 0.23)			-0.03 (-0.09 to 0.03)			0.00 (0.00 to 0.01)			0.00 (0.00 to 0.01)
mean_UDexc_COV * H3000’s	0.02 (0.00 to 0.04)			0.02 (-0.02 to 0.06)			0.00 (-0.02 to 0.02)			0.16 (-0.06 to 0.38)			-0.04 (-0.10 to 0.02)			0.01 (0.01 to 0.01)			0.02 (0.01 to 0.02)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.9 (NA to NA)			1.0 (NA to NA)			0.00 (NA to NA)			1.3 (NA to NA)			0.26 (NA to NA)			0.50 (NA to NA)
Residual.sd__Observation	0.38 (NA to NA)			0.64 (NA to NA)			0.33 (NA to NA)			4.4 (NA to NA)			1.1 (NA to NA)			0.07 (NA to NA)			0.12 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.2206, R2c: 0.865

alpha_avg_power R2m: 0.0786, R2c: 0.909

beta_avg_power R2m: 0.122, R2c: 0.9178

theta_div_beta R2m: 0.0178, R2c: 0.0178

log_theta_div_beta R2m: 0.0777, R2c: 0.615

aperiodic_exp R2m: 0.1467, R2c: 0.9382

aperiodic_offset R2m: 0.1554, R2c: 0.9568

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_offset for Cluster: 3
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.35 (-0.04 to 0.73)	0.077	0.15	4.6 (3.8 to 5.5)	<0.001	<0.001	2.6 (2.2 to 3.0)	<0.001	<0.001	0.14 (-2.2 to 2.5)	0.91	0.95	2.3 (1.5 to 3.1)	<0.001	<0.001	1.2 (1.1 to 1.4)	<0.001	<0.001	-0.60 (-0.80 to -0.40)	<0.001	<0.001
mean_UDexc_mean	3.3 (-5.6 to 12)	0.46	0.46	-9.6 (-25 to 5.3)	0.21	0.27	-4.0 (-12 to 3.5)	0.29	0.29	2.8 (-91 to 97)	0.95	0.95	-24 (-49 to 1.6)	0.067	0.067	0.48 (-1.3 to 2.2)	0.59	0.59	1.1 (-1.7 to 3.9)	0.44	0.44
group_char		<0.001	<0.001		0.14	0.27		0.059	0.12		0.63	0.95		0.002	0.003		<0.001	<0.001		<0.001	<0.001
H1000’s	—			—			—			—			—			—			—
H2000’s	0.60 (0.03 to 1.2)			-1.2 (-2.4 to 0.03)			-0.58 (-1.2 to 0.06)			0.00 (-3.4 to 3.4)			-1.7 (-2.9 to -0.50)			-0.03 (-0.20 to 0.13)			-0.19 (-0.49 to 0.11)
H3000’s	1.4 (0.83 to 1.9)			-0.84 (-2.0 to 0.33)			-0.69 (-1.3 to -0.08)			1.4 (-1.9 to 4.7)			-2.0 (-3.1 to -0.81)			0.33 (0.17 to 0.48)			0.48 (0.20 to 0.77)
mean_UDexc_mean * group_char		0.25	0.34		0.69	0.69		0.27	0.29		0.82	0.95		0.062	0.067		<0.001	<0.001		<0.001	<0.001
mean_UDexc_mean * H2000’s	-1.2 (-14 to 12)			-6.4 (-28 to 15)			-7.5 (-18 to 3.2)			16 (-116 to 149)			40 (4.2 to 77)			-1.5 (-3.9 to 1.0)			-2.1 (-6.1 to 1.8)
mean_UDexc_mean * H3000’s	-10 (-23 to 2.8)			-9.1 (-31 to 12)			-7.8 (-19 to 3.1)			-25 (-154 to 104)			34 (-2.2 to 71)			-5.9 (-8.4 to -3.4)			-8.0 (-12 to -4.0)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.9 (NA to NA)			1.0 (NA to NA)			0.00 (NA to NA)			1.3 (NA to NA)			0.27 (NA to NA)			0.50 (NA to NA)
Residual.sd__Observation	0.38 (NA to NA)			0.64 (NA to NA)			0.32 (NA to NA)			4.4 (NA to NA)			1.1 (NA to NA)			0.07 (NA to NA)			0.12 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.2183, R2c: 0.8626

alpha_avg_power R2m: 0.0794, R2c: 0.9104

beta_avg_power R2m: 0.1285, R2c: 0.9216

theta_div_beta R2m: 0.0071, R2c: 0.0071

log_theta_div_beta R2m: 0.0827, R2c: 0.6231

aperiodic_exp R2m: 0.1409, R2c: 0.9371

aperiodic_offset R2m: 0.1514, R2c: 0.955

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 3
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.46 (0.09 to 0.82)	0.014	0.027	4.1 (3.3 to 4.8)	<0.001	<0.001	2.4 (2.0 to 2.8)	<0.001	<0.001	0.22 (-1.8 to 2.3)	0.83	0.99	1.4 (0.71 to 2.2)	<0.001	<0.001	1.3 (1.2 to 1.4)	<0.001	<0.001	-0.57 (-0.76 to -0.37)	<0.001	<0.001
mean_StanceDur	-0.03 (-0.16 to 0.11)	0.71	0.71	0.28 (0.06 to 0.50)	0.013	0.026	0.09 (-0.03 to 0.20)	0.14	0.18	-0.01 (-1.5 to 1.5)	0.99	0.99	0.21 (-0.18 to 0.61)	0.29	0.52	0.00 (-0.03 to 0.02)	0.80	0.80	-0.01 (-0.05 to 0.04)	0.74	0.74
group_char		0.013	0.027		0.019	0.026		0.004	0.008		0.84	0.99		0.52	0.52		0.11	0.14		0.021	0.028
H1000’s	—			—			—			—			—			—			—
H2000’s	0.57 (0.01 to 1.1)			-1.4 (-2.6 to -0.24)			-0.92 (-1.6 to -0.28)			0.62 (-2.8 to 4.0)			-0.24 (-1.4 to 0.92)			-0.12 (-0.28 to 0.05)			-0.30 (-0.60 to 0.00)
H3000’s	0.78 (0.24 to 1.3)			-1.4 (-2.6 to -0.28)			-0.88 (-1.5 to -0.27)			0.97 (-2.4 to 4.3)			-0.67 (-1.8 to 0.48)			0.06 (-0.09 to 0.22)			0.12 (-0.16 to 0.41)
mean_StanceDur * group_char		0.037	0.049		0.13	0.13		0.34	0.34		0.98	0.99		0.41	0.52		<0.001	<0.001		<0.001	0.002
mean_StanceDur * H2000’s	0.00 (-0.27 to 0.26)			0.15 (-0.29 to 0.59)			0.17 (-0.06 to 0.40)			-0.23 (-3.2 to 2.7)			-0.42 (-1.2 to 0.36)			0.05 (-0.01 to 0.10)			0.06 (-0.03 to 0.14)
mean_StanceDur * H3000’s	0.37 (0.08 to 0.67)			0.50 (0.01 to 0.98)			0.03 (-0.23 to 0.28)			-0.20 (-3.3 to 2.9)			-0.45 (-1.3 to 0.40)			0.13 (0.07 to 0.19)			0.18 (0.08 to 0.27)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.9 (NA to NA)			1.0 (NA to NA)			0.00 (NA to NA)			1.3 (NA to NA)			0.27 (NA to NA)			0.50 (NA to NA)
Residual.sd__Observation	0.38 (NA to NA)			0.62 (NA to NA)			0.33 (NA to NA)			4.4 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.12 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.2187, R2c: 0.8661

alpha_avg_power R2m: 0.0831, R2c: 0.9145

beta_avg_power R2m: 0.1246, R2c: 0.9196

theta_div_beta R2m: 0.006, R2c: 0.006

log_theta_div_beta R2m: 0.0776, R2c: 0.6146

aperiodic_exp R2m: 0.1363, R2c: 0.9354

aperiodic_offset R2m: 0.1487, R2c: 0.9547

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 3
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.47 (0.09 to 0.85)	0.016	0.065	4.0 (3.2 to 4.8)	<0.001	<0.001	2.4 (2.0 to 2.8)	<0.001	<0.001	0.24 (-2.2 to 2.7)	0.85	0.99	1.3 (0.54 to 2.2)	0.001	0.004	1.3 (1.2 to 1.4)	<0.001	<0.001	-0.57 (-0.77 to -0.37)	<0.001	<0.001
mean_GaitCycleDur	-0.02 (-0.14 to 0.09)	0.68	0.68	0.22 (0.03 to 0.40)	0.023	0.030	0.07 (-0.03 to 0.16)	0.17	0.23	-0.01 (-1.3 to 1.3)	0.98	0.99	0.19 (-0.14 to 0.52)	0.25	0.50	0.00 (-0.02 to 0.02)	0.87	0.87	0.00 (-0.04 to 0.03)	0.80	0.80
group_char		0.033	0.066		0.015	0.030		0.003	0.006		0.89	0.99		0.71	0.71		0.14	0.19		0.028	0.037
H1000’s	—			—			—			—			—			—			—
H2000’s	0.58 (-0.01 to 1.2)			-1.5 (-2.8 to -0.24)			-0.99 (-1.7 to -0.33)			0.29 (-3.8 to 4.4)			-0.13 (-1.4 to 1.2)			-0.13 (-0.30 to 0.04)			-0.32 (-0.62 to -0.01)
H3000’s	0.72 (0.14 to 1.3)			-1.6 (-2.8 to -0.37)			-0.93 (-1.6 to -0.29)			0.97 (-3.0 to 4.9)			-0.54 (-1.8 to 0.77)			0.04 (-0.12 to 0.20)			0.10 (-0.19 to 0.39)
mean_GaitCycleDur * group_char		0.059	0.078		0.10	0.10		0.25	0.25		0.99	0.99		0.41	0.55		<0.001	<0.001		0.002	0.005
mean_GaitCycleDur * H2000’s	-0.01 (-0.24 to 0.21)			0.14 (-0.23 to 0.52)			0.17 (-0.03 to 0.36)			0.06 (-2.4 to 2.5)			-0.35 (-1.0 to 0.31)			0.04 (0.00 to 0.09)			0.05 (-0.02 to 0.12)
mean_GaitCycleDur * H3000’s	0.29 (0.04 to 0.54)			0.45 (0.03 to 0.86)			0.05 (-0.17 to 0.27)			-0.13 (-2.7 to 2.4)			-0.38 (-1.1 to 0.34)			0.11 (0.06 to 0.16)			0.14 (0.06 to 0.22)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.9 (NA to NA)			1.0 (NA to NA)			0.00 (NA to NA)			1.3 (NA to NA)			0.27 (NA to NA)			0.50 (NA to NA)
Residual.sd__Observation	0.38 (NA to NA)			0.62 (NA to NA)			0.33 (NA to NA)			4.4 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.12 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.2182, R2c: 0.8656

alpha_avg_power R2m: 0.0831, R2c: 0.9143

beta_avg_power R2m: 0.1249, R2c: 0.92

theta_div_beta R2m: 0.0059, R2c: 0.0059

log_theta_div_beta R2m: 0.0777, R2c: 0.6146

aperiodic_exp R2m: 0.136, R2c: 0.935

aperiodic_offset R2m: 0.1484, R2c: 0.9543

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 3
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.36 (0.00 to 0.72)	0.048	0.076	4.6 (3.8 to 5.4)	<0.001	<0.001	2.6 (2.1 to 3.0)	<0.001	<0.001	0.16 (-1.8 to 2.1)	0.88	0.97	2.1 (1.4 to 2.8)	<0.001	<0.001	1.3 (1.2 to 1.4)	<0.001	<0.001	-0.58 (-0.78 to -0.39)	<0.001	<0.001
mean_PeakUpDownVel_mean	0.27 (-0.40 to 0.94)	0.43	0.43	-0.67 (-1.8 to 0.46)	0.25	0.33	-0.21 (-0.78 to 0.36)	0.47	0.47	0.24 (-7.3 to 7.8)	0.95	0.97	-1.9 (-3.8 to 0.10)	0.063	0.065	0.01 (-0.13 to 0.14)	0.92	0.92	0.03 (-0.18 to 0.24)	0.77	0.77
group_char		<0.001	<0.001		0.14	0.27		0.037	0.075		0.73	0.97		0.001	0.002		<0.001	<0.001		<0.001	<0.001
H1000’s	—			—			—			—			—			—			—
H2000’s	0.62 (0.09 to 1.2)			-1.1 (-2.3 to 0.02)			-0.57 (-1.2 to 0.04)			0.64 (-2.2 to 3.5)			-1.4 (-2.5 to -0.40)			-0.04 (-0.20 to 0.11)			-0.21 (-0.50 to 0.09)
H3000’s	1.4 (0.90 to 1.9)			-0.80 (-1.9 to 0.32)			-0.73 (-1.3 to -0.15)			1.1 (-1.6 to 3.9)			-1.8 (-2.8 to -0.78)			0.29 (0.14 to 0.44)			0.43 (0.16 to 0.71)
mean_PeakUpDownVel_mean * group_char		0.057	0.076		0.47	0.47		0.19	0.26		0.97	0.97		0.065	0.065		<0.001	<0.001		<0.001	0.001
mean_PeakUpDownVel_mean * H2000’s	-0.21 (-1.2 to 0.74)			-0.71 (-2.3 to 0.88)			-0.71 (-1.5 to 0.10)			-0.99 (-11 to 9.5)			3.0 (0.25 to 5.7)			-0.10 (-0.28 to 0.09)			-0.13 (-0.43 to 0.17)
mean_PeakUpDownVel_mean * H3000’s	-1.1 (-2.0 to -0.14)			-0.95 (-2.5 to 0.63)			-0.55 (-1.4 to 0.25)			-1.3 (-11 to 8.8)			2.7 (-0.07 to 5.4)			-0.41 (-0.60 to -0.23)			-0.54 (-0.84 to -0.25)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.9 (NA to NA)			1.0 (NA to NA)			0.00 (NA to NA)			1.3 (NA to NA)			0.26 (NA to NA)			0.50 (NA to NA)
Residual.sd__Observation	0.38 (NA to NA)			0.63 (NA to NA)			0.32 (NA to NA)			4.4 (NA to NA)			1.1 (NA to NA)			0.07 (NA to NA)			0.12 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.219, R2c: 0.8659

alpha_avg_power R2m: 0.0807, R2c: 0.9113

beta_avg_power R2m: 0.1273, R2c: 0.9215

theta_div_beta R2m: 0.0062, R2c: 0.0062

log_theta_div_beta R2m: 0.0825, R2c: 0.6183

aperiodic_exp R2m: 0.1411, R2c: 0.9376

aperiodic_offset R2m: 0.1514, R2c: 0.955

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_avg_power for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.36 (0.04 to 0.68)	0.028	0.11	3.2 (2.1 to 4.3)	<0.001	<0.001	2.3 (1.6 to 3.0)	<0.001	<0.001	-0.04 (-1.1 to 1.0)	0.94	0.94	1.0 (-0.28 to 2.3)	0.13	0.42	1.1 (0.95 to 1.2)	<0.001	<0.001	-1.1 (-1.4 to -0.84)	<0.001	<0.001
mean_APexc_COV	0.00 (-0.01 to 0.02)	0.60	0.60	0.02 (-0.02 to 0.05)	0.38	0.53	0.00 (-0.02 to 0.02)	0.83	0.99	0.03 (-0.04 to 0.09)	0.38	0.84	0.02 (-0.05 to 0.10)	0.55	0.55	0.00 (0.00 to 0.00)	0.75	0.75	0.00 (-0.01 to 0.01)	0.90	0.90
group_char		0.21	0.42		0.40	0.53		0.20	0.41		0.65	0.87		0.21	0.42		0.45	0.60		0.70	0.90
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.07 (-0.60 to 0.46)			-0.15 (-1.9 to 1.6)			0.37 (-0.74 to 1.5)			-0.08 (-1.8 to 1.7)			1.9 (-0.28 to 4.0)			-0.09 (-0.28 to 0.09)			-0.11 (-0.51 to 0.29)
H3000’s	-0.41 (-0.88 to 0.06)			-1.0 (-2.6 to 0.55)			0.93 (-0.09 to 2.0)			0.57 (-0.84 to 2.0)			1.1 (-0.78 to 2.9)			0.02 (-0.15 to 0.19)			0.07 (-0.31 to 0.44)
mean_APexc_COV * group_char		0.53	0.60		0.56	0.56		0.99	0.99		0.42	0.84		0.55	0.55		0.090	0.18		0.19	0.39
mean_APexc_COV * H2000’s	-0.01 (-0.03 to 0.01)			-0.02 (-0.07 to 0.03)			0.00 (-0.03 to 0.03)			-0.01 (-0.10 to 0.08)			-0.05 (-0.15 to 0.05)			0.00 (-0.01 to 0.00)			0.00 (-0.01 to 0.00)
mean_APexc_COV * H3000’s	0.00 (-0.02 to 0.02)			0.01 (-0.04 to 0.05)			0.00 (-0.03 to 0.03)			-0.04 (-0.12 to 0.03)			-0.01 (-0.09 to 0.08)			0.00 (-0.01 to 0.00)			-0.01 (-0.01 to 0.00)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.16 (NA to NA)			1.3 (NA to NA)			0.25 (NA to NA)			0.63 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.56 (NA to NA)			0.34 (NA to NA)			1.3 (NA to NA)			1.2 (NA to NA)			0.06 (NA to NA)			0.08 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0645, R2c: 0.8238

alpha_avg_power R2m: 0.0184, R2c: 0.9498

beta_avg_power R2m: 0.0596, R2c: 0.9584

theta_div_beta R2m: 0.0147, R2c: 0.0297

log_theta_div_beta R2m: 0.0828, R2c: 0.5764

aperiodic_exp R2m: 0.0447, R2c: 0.9509

aperiodic_offset R2m: 0.0137, R2c: 0.9827

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in alpha_avg_power for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.44 (0.17 to 0.71)	0.002	0.006	2.9 (1.9 to 4.0)	<0.001	<0.001	2.1 (1.4 to 2.8)	<0.001	<0.001	0.22 (-0.66 to 1.1)	0.63	0.86	1.0 (0.00 to 2.0)	0.049	0.20	1.1 (0.97 to 1.2)	<0.001	<0.001	-1.1 (-1.3 to -0.81)	<0.001	<0.001
mean_APexc_mean	-0.20 (-3.5 to 3.1)	0.91	0.91	8.9 (1.8 to 16)	0.014	0.029	4.3 (-0.06 to 8.6)	0.053	0.11	3.6 (-12 to 19)	0.64	0.86	6.0 (-9.8 to 22)	0.46	0.53	-0.53 (-1.3 to 0.27)	0.19	0.26	-0.83 (-1.9 to 0.28)	0.14	0.19
group_char		0.19	0.39		0.39	0.39		0.26	0.26		0.91	0.91		0.15	0.30		0.52	0.52		0.70	0.70
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.22 (-0.63 to 0.19)			-0.52 (-2.1 to 1.0)			0.22 (-0.79 to 1.2)			0.20 (-1.0 to 1.4)			1.4 (-0.05 to 2.9)			-0.10 (-0.26 to 0.07)			-0.14 (-0.52 to 0.24)
H3000’s	-0.37 (-0.77 to 0.03)			-1.1 (-2.5 to 0.44)			0.79 (-0.18 to 1.7)			0.25 (-0.91 to 1.4)			1.0 (-0.47 to 2.5)			-0.04 (-0.20 to 0.11)			0.01 (-0.35 to 0.37)
mean_APexc_mean * group_char		0.88	0.91		0.28	0.37		0.22	0.26		0.61	0.86		0.53	0.53		0.10	0.19		0.032	0.065
mean_APexc_mean * H2000’s	-0.80 (-6.2 to 4.6)			3.1 (-8.5 to 15)			5.0 (-2.0 to 12)			-7.3 (-31 to 16)			-11 (-36 to 15)			-0.50 (-1.8 to 0.79)			-0.79 (-2.6 to 1.0)
mean_APexc_mean * H3000’s	0.85 (-5.0 to 6.8)			11 (-2.3 to 23)			5.7 (-2.1 to 13)			-12 (-35 to 12)			5.7 (-21 to 33)			-1.6 (-3.0 to -0.15)			-2.7 (-4.7 to -0.67)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.17 (NA to NA)			1.3 (NA to NA)			0.25 (NA to NA)			0.63 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.53 (NA to NA)			0.32 (NA to NA)			1.3 (NA to NA)			1.2 (NA to NA)			0.06 (NA to NA)			0.08 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0622, R2c: 0.8237

alpha_avg_power R2m: 0.0237, R2c: 0.956

beta_avg_power R2m: 0.0638, R2c: 0.9637

theta_div_beta R2m: 0.0126, R2c: 0.0312

log_theta_div_beta R2m: 0.0833, R2c: 0.5789

aperiodic_exp R2m: 0.0442, R2c: 0.9508

aperiodic_offset R2m: 0.0149, R2c: 0.9833

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in beta_avg_power for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.10 (-0.19 to 0.38)	0.52	0.69	3.3 (2.2 to 4.3)	<0.001	<0.001	2.4 (1.7 to 3.0)	<0.001	<0.001	-0.05 (-0.77 to 0.66)	0.88	0.88	2.2 (1.1 to 3.2)	<0.001	<0.001	1.1 (0.95 to 1.2)	<0.001	<0.001	-1.1 (-1.4 to -0.84)	<0.001	<0.001
mean_MLexc_COV	0.02 (0.01 to 0.04)	0.001	0.006	0.01 (-0.02 to 0.05)	0.50	0.58	0.00 (-0.02 to 0.02)	0.78	0.80	0.03 (-0.01 to 0.08)	0.17	0.65	-0.06 (-0.12 to 0.01)	0.082	0.16	0.00 (0.00 to 0.00)	0.62	0.62	0.00 (-0.01 to 0.00)	0.79	0.79
group_char		0.81	0.81		0.58	0.58		0.15	0.29		0.48	0.65		0.31	0.31		0.070	0.12		0.39	0.52
H1000’s	—			—			—			—			—			—			—
H2000’s	0.05 (-0.37 to 0.47)			-0.05 (-1.6 to 1.5)			0.53 (-0.49 to 1.5)			0.53 (-0.57 to 1.6)			-0.20 (-1.7 to 1.3)			-0.19 (-0.36 to -0.02)			-0.27 (-0.66 to 0.12)
H3000’s	-0.09 (-0.50 to 0.32)			-0.74 (-2.3 to 0.79)			0.98 (0.00 to 2.0)			-0.16 (-1.3 to 0.95)			0.94 (-0.59 to 2.5)			-0.13 (-0.29 to 0.04)			-0.12 (-0.49 to 0.25)
mean_MLexc_COV * group_char		0.11	0.23		0.39	0.58		0.80	0.80		0.41	0.65		0.23	0.30		0.087	0.12		0.15	0.30
mean_MLexc_COV * H2000’s	-0.02 (-0.04 to 0.00)			-0.03 (-0.08 to 0.02)			-0.01 (-0.04 to 0.02)			-0.05 (-0.12 to 0.03)			0.08 (-0.02 to 0.17)			0.01 (0.00 to 0.01)			0.01 (0.00 to 0.01)
mean_MLexc_COV * H3000’s	-0.02 (-0.04 to 0.00)			0.00 (-0.05 to 0.05)			0.00 (-0.03 to 0.03)			-0.01 (-0.08 to 0.07)			0.01 (-0.08 to 0.10)			0.00 (0.00 to 0.01)			0.00 (0.00 to 0.01)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.12 (NA to NA)			1.3 (NA to NA)			0.25 (NA to NA)			0.63 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.56 (NA to NA)			0.34 (NA to NA)			1.3 (NA to NA)			1.2 (NA to NA)			0.06 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0789, R2c: 0.8333

alpha_avg_power R2m: 0.0174, R2c: 0.9499

beta_avg_power R2m: 0.0601, R2c: 0.9587

theta_div_beta R2m: 0.0191, R2c: 0.0279

log_theta_div_beta R2m: 0.095, R2c: 0.575

aperiodic_exp R2m: 0.0401, R2c: 0.9489

aperiodic_offset R2m: 0.0127, R2c: 0.9821

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_div_beta for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.57 (0.30 to 0.84)	<0.001	<0.001	3.2 (2.2 to 4.2)	<0.001	<0.001	2.2 (1.5 to 2.9)	<0.001	<0.001	0.25 (-0.51 to 1.0)	0.51	0.89	0.79 (-0.19 to 1.8)	0.11	0.15	1.1 (0.98 to 1.2)	<0.001	<0.001	-1.1 (-1.3 to -0.81)	<0.001	<0.001
mean_MLexc_mean	-1.7 (-3.9 to 0.49)	0.13	0.17	2.9 (-2.0 to 7.8)	0.24	0.28	1.7 (-1.2 to 4.6)	0.26	0.35	2.0 (-7.0 to 11)	0.66	0.89	7.0 (-3.1 to 17)	0.17	0.17	-0.43 (-0.96 to 0.10)	0.11	0.23	-0.66 (-1.4 to 0.08)	0.079	0.16
group_char		0.056	0.11		0.28	0.28		0.35	0.35		0.94	0.94		0.039	0.15		0.51	0.58		0.74	0.74
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.29 (-0.68 to 0.10)			-0.52 (-2.1 to 1.0)			0.27 (-0.72 to 1.3)			0.06 (-1.0 to 1.1)			1.8 (0.42 to 3.2)			-0.09 (-0.25 to 0.07)			-0.14 (-0.52 to 0.24)
H3000’s	-0.46 (-0.84 to -0.08)			-1.2 (-2.7 to 0.27)			0.70 (-0.25 to 1.7)			0.17 (-0.84 to 1.2)			0.95 (-0.40 to 2.3)			-0.07 (-0.22 to 0.09)			-0.02 (-0.38 to 0.34)
mean_MLexc_mean * group_char		0.51	0.51		0.17	0.28		0.31	0.35		0.66	0.89		0.077	0.15		0.58	0.58		0.29	0.39
mean_MLexc_mean * H2000’s	0.62 (-2.2 to 3.4)			0.30 (-5.9 to 6.5)			1.2 (-2.5 to 4.9)			-2.7 (-14 to 9.0)			-11 (-23 to 2.3)			-0.20 (-0.86 to 0.47)			-0.24 (-1.2 to 0.69)
mean_MLexc_mean * H3000’s	1.6 (-1.2 to 4.5)			5.1 (-1.3 to 12)			2.9 (-0.89 to 6.8)			-5.3 (-17 to 6.2)			2.0 (-11 to 15)			-0.37 (-1.1 to 0.33)			-0.73 (-1.7 to 0.23)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.18 (NA to NA)			1.3 (NA to NA)			0.25 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.54 (NA to NA)			0.32 (NA to NA)			1.2 (NA to NA)			1.2 (NA to NA)			0.06 (NA to NA)			0.08 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0653, R2c: 0.8279

alpha_avg_power R2m: 0.0221, R2c: 0.9538

beta_avg_power R2m: 0.0632, R2c: 0.9634

theta_div_beta R2m: 0.0121, R2c: 0.0328

log_theta_div_beta R2m: 0.0937, R2c: 0.5998

aperiodic_exp R2m: 0.0447, R2c: 0.9526

aperiodic_offset R2m: 0.0153, R2c: 0.9838

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in log_theta_div_beta for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.45 (0.21 to 0.69)	<0.001	0.001	3.0 (2.0 to 4.0)	<0.001	<0.001	2.2 (1.5 to 2.8)	<0.001	<0.001	0.57 (-0.15 to 1.3)	0.12	0.49	1.2 (0.39 to 2.1)	0.004	0.016	1.1 (0.98 to 1.2)	<0.001	<0.001	-1.1 (-1.3 to -0.81)	<0.001	<0.001
mean_StepDur	-0.02 (-0.17 to 0.13)	0.78	0.78	0.47 (0.15 to 0.79)	0.004	0.009	0.19 (0.00 to 0.39)	0.051	0.068	-0.17 (-0.91 to 0.57)	0.65	0.96	0.13 (-0.58 to 0.83)	0.73	0.73	-0.04 (-0.07 to 0.00)	0.039	0.078	-0.06 (-0.11 to -0.01)	0.015	0.025
group_char		0.37	0.74		0.28	0.28		0.49	0.49		0.96	0.96		0.17	0.22		0.59	0.59		0.73	0.73
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.15 (-0.55 to 0.25)			-0.51 (-2.0 to 1.0)			0.22 (-0.77 to 1.2)			-0.17 (-1.4 to 1.1)			1.2 (-0.21 to 2.7)			-0.08 (-0.25 to 0.08)			-0.13 (-0.51 to 0.25)
H3000’s	-0.28 (-0.67 to 0.11)			-1.2 (-2.7 to 0.28)			0.58 (-0.37 to 1.5)			-0.12 (-1.3 to 1.1)			-0.18 (-1.6 to 1.3)			-0.05 (-0.20 to 0.11)			0.01 (-0.35 to 0.37)
mean_StepDur * group_char		0.67	0.78		0.12	0.16		0.024	0.048		0.94	0.96		0.036	0.071		0.078	0.10		0.019	0.025
mean_StepDur * H2000’s	-0.13 (-0.45 to 0.18)			0.15 (-0.52 to 0.83)			0.27 (-0.13 to 0.68)			-0.02 (-1.5 to 1.5)			-0.41 (-1.9 to 1.1)			-0.05 (-0.12 to 0.03)			-0.06 (-0.16 to 0.04)
mean_StepDur * H3000’s	-0.09 (-0.44 to 0.27)			0.80 (0.04 to 1.6)			0.61 (0.15 to 1.1)			-0.28 (-1.9 to 1.3)			2.0 (0.33 to 3.6)			-0.09 (-0.17 to -0.01)			-0.16 (-0.28 to -0.05)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.14 (NA to NA)			1.3 (NA to NA)			0.25 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.53 (NA to NA)			0.32 (NA to NA)			1.3 (NA to NA)			1.2 (NA to NA)			0.06 (NA to NA)			0.08 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0646, R2c: 0.8239

alpha_avg_power R2m: 0.0219, R2c: 0.9556

beta_avg_power R2m: 0.0632, R2c: 0.9636

theta_div_beta R2m: 0.0111, R2c: 0.0237

log_theta_div_beta R2m: 0.0949, R2c: 0.5864

aperiodic_exp R2m: 0.0429, R2c: 0.9517

aperiodic_offset R2m: 0.0143, R2c: 0.9838

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_exp for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.46 (0.23 to 0.70)	<0.001	<0.001	3.3 (2.3 to 4.2)	<0.001	<0.001	2.2 (1.6 to 2.9)	<0.001	<0.001	0.57 (-0.03 to 1.2)	0.063	0.25	1.1 (0.34 to 1.9)	0.005	0.012	1.1 (0.98 to 1.2)	<0.001	<0.001	-1.1 (-1.3 to -0.82)	<0.001	<0.001
mean_UDexc_COV	0.00 (-0.01 to 0.01)	0.60	0.60	0.01 (-0.01 to 0.03)	0.20	0.27	0.01 (0.00 to 0.02)	0.19	0.25	-0.01 (-0.06 to 0.03)	0.58	0.85	0.02 (-0.02 to 0.06)	0.37	0.37	0.00 (0.00 to 0.00)	0.026	0.052	0.00 (-0.01 to 0.00)	0.020	0.041
group_char		0.11	0.22		0.28	0.28		0.43	0.43		0.85	0.85		0.056	0.075		0.39	0.51		0.68	0.68
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.18 (-0.54 to 0.18)			-0.44 (-1.9 to 1.1)			0.33 (-0.63 to 1.3)			-0.26 (-1.2 to 0.66)			1.3 (0.11 to 2.5)			-0.11 (-0.27 to 0.05)			-0.16 (-0.54 to 0.22)
H3000’s	-0.38 (-0.74 to -0.02)			-1.2 (-2.6 to 0.27)			0.61 (-0.31 to 1.5)			-0.07 (-1.0 to 0.90)			-0.05 (-1.3 to 1.2)			-0.07 (-0.22 to 0.08)			-0.02 (-0.38 to 0.34)
mean_UDexc_COV * group_char		0.51	0.60		0.17	0.27		0.054	0.11		0.84	0.85		0.006	0.012		0.51	0.51		0.20	0.27
mean_UDexc_COV * H2000’s	-0.01 (-0.02 to 0.01)			0.00 (-0.03 to 0.03)			0.01 (-0.01 to 0.02)			0.01 (-0.06 to 0.07)			-0.03 (-0.09 to 0.03)			0.00 (0.00 to 0.00)			0.00 (-0.01 to 0.00)
mean_UDexc_COV * H3000’s	0.00 (-0.01 to 0.02)			0.03 (-0.01 to 0.06)			0.02 (0.00 to 0.04)			-0.01 (-0.08 to 0.05)			0.08 (0.02 to 0.15)			0.00 (-0.01 to 0.00)			0.00 (-0.01 to 0.00)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.13 (NA to NA)			1.3 (NA to NA)			0.26 (NA to NA)			0.63 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.55 (NA to NA)			0.32 (NA to NA)			1.3 (NA to NA)			1.2 (NA to NA)			0.06 (NA to NA)			0.08 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.064, R2c: 0.8248

alpha_avg_power R2m: 0.0195, R2c: 0.9526

beta_avg_power R2m: 0.0641, R2c: 0.9625

theta_div_beta R2m: 0.013, R2c: 0.0235

log_theta_div_beta R2m: 0.11, R2c: 0.5975

aperiodic_exp R2m: 0.0424, R2c: 0.9523

aperiodic_offset R2m: 0.0142, R2c: 0.9838

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_offset for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.31 (0.06 to 0.56)	0.014	0.054	3.6 (2.6 to 4.6)	<0.001	<0.001	2.5 (1.8 to 3.1)	<0.001	<0.001	0.38 (-0.34 to 1.1)	0.30	0.71	2.0 (1.1 to 2.8)	<0.001	<0.001	1.0 (0.90 to 1.1)	<0.001	<0.001	-1.2 (-1.4 to -0.92)	<0.001	<0.001
mean_UDexc_mean	4.9 (-1.1 to 11)	0.11	0.22	-8.2 (-22 to 5.1)	0.22	0.30	-6.1 (-14 to 1.6)	0.12	0.12	1.4 (-27 to 29)	0.92	0.92	-26 (-54 to 2.0)	0.069	0.069	1.7 (0.31 to 3.2)	0.017	0.034	2.4 (0.47 to 4.4)	0.015	0.031
group_char		0.27	0.36		0.82	0.82		0.011	0.015		0.35	0.71		0.015	0.031		0.20	0.26		0.56	0.56
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.27 (-0.65 to 0.10)			-0.49 (-2.0 to 1.0)			0.44 (-0.52 to 1.4)			-0.70 (-1.8 to 0.37)			0.36 (-0.94 to 1.6)			-0.13 (-0.29 to 0.03)			-0.20 (-0.58 to 0.18)
H3000’s	-0.24 (-0.61 to 0.12)			-0.27 (-1.7 to 1.2)			1.4 (0.47 to 2.3)			-0.61 (-1.6 to 0.39)			1.8 (0.52 to 3.0)			-0.11 (-0.27 to 0.04)			-0.14 (-0.50 to 0.22)
mean_UDexc_mean * group_char		0.59	0.59		0.057	0.11		0.002	0.004		0.58	0.77		0.068	0.069		0.81	0.81		0.38	0.50
mean_UDexc_mean * H2000’s	0.77 (-7.9 to 9.4)			1.4 (-18 to 21)			-1.2 (-12 to 9.8)			21 (-19 to 62)			23 (-17 to 64)			0.53 (-1.5 to 2.6)			1.0 (-1.8 to 3.9)
mean_UDexc_mean * H3000’s	-3.5 (-12 to 5.1)			-20 (-39 to -0.73)			-18 (-29 to -6.9)			14 (-25 to 53)			-26 (-66 to 15)			0.64 (-1.4 to 2.7)			2.1 (-0.82 to 4.9)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.09 (NA to NA)			1.3 (NA to NA)			0.25 (NA to NA)			0.63 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.54 (NA to NA)			0.31 (NA to NA)			1.3 (NA to NA)			1.2 (NA to NA)			0.06 (NA to NA)			0.08 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0668, R2c: 0.8274

alpha_avg_power R2m: 0.021, R2c: 0.9532

beta_avg_power R2m: 0.0683, R2c: 0.9645

theta_div_beta R2m: 0.0212, R2c: 0.0258

log_theta_div_beta R2m: 0.1102, R2c: 0.5979

aperiodic_exp R2m: 0.0433, R2c: 0.9529

aperiodic_offset R2m: 0.0146, R2c: 0.9842

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.45 (0.22 to 0.68)	<0.001	<0.001	3.1 (2.1 to 4.0)	<0.001	<0.001	2.2 (1.6 to 2.8)	<0.001	<0.001	0.56 (-0.04 to 1.2)	0.069	0.28	1.3 (0.50 to 2.0)	0.001	0.004	1.1 (0.98 to 1.2)	<0.001	<0.001	-1.1 (-1.3 to -0.82)	<0.001	<0.001
mean_StanceDur	-0.01 (-0.10 to 0.08)	0.78	0.78	0.29 (0.10 to 0.48)	0.002	0.005	0.12 (0.00 to 0.23)	0.048	0.065	-0.12 (-0.56 to 0.32)	0.61	0.92	0.08 (-0.34 to 0.50)	0.72	0.72	-0.02 (-0.04 to 0.00)	0.034	0.069	-0.04 (-0.07 to -0.01)	0.013	0.026
group_char		0.29	0.58		0.35	0.35		0.37	0.37		0.90	0.92		0.13	0.18		0.49	0.49		0.70	0.70
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.17 (-0.54 to 0.20)			-0.44 (-1.9 to 1.1)			0.29 (-0.68 to 1.3)			-0.23 (-1.3 to 0.81)			1.2 (-0.03 to 2.5)			-0.09 (-0.25 to 0.06)			-0.15 (-0.53 to 0.23)
H3000’s	-0.28 (-0.64 to 0.08)			-1.1 (-2.5 to 0.37)			0.66 (-0.26 to 1.6)			-0.14 (-1.2 to 0.89)			0.07 (-1.2 to 1.3)			-0.06 (-0.21 to 0.09)			-0.01 (-0.37 to 0.35)
mean_StanceDur * group_char		0.66	0.78		0.15	0.20		0.030	0.061		0.92	0.92		0.028	0.056		0.080	0.11		0.020	0.027
mean_StanceDur * H2000’s	-0.08 (-0.26 to 0.11)			0.04 (-0.35 to 0.43)			0.13 (-0.10 to 0.37)			0.04 (-0.84 to 0.92)			-0.29 (-1.1 to 0.57)			-0.02 (-0.07 to 0.02)			-0.03 (-0.09 to 0.03)
mean_StanceDur * H3000’s	-0.06 (-0.27 to 0.15)			0.44 (0.00 to 0.88)			0.35 (0.08 to 0.62)			-0.18 (-1.1 to 0.78)			1.2 (0.22 to 2.1)			-0.05 (-0.10 to 0.00)			-0.10 (-0.16 to -0.03)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.14 (NA to NA)			1.3 (NA to NA)			0.25 (NA to NA)			0.63 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.53 (NA to NA)			0.32 (NA to NA)			1.3 (NA to NA)			1.2 (NA to NA)			0.06 (NA to NA)			0.08 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0646, R2c: 0.824

alpha_avg_power R2m: 0.0216, R2c: 0.9555

beta_avg_power R2m: 0.0629, R2c: 0.9633

theta_div_beta R2m: 0.0113, R2c: 0.0228

log_theta_div_beta R2m: 0.0944, R2c: 0.5867

aperiodic_exp R2m: 0.0426, R2c: 0.9519

aperiodic_offset R2m: 0.0141, R2c: 0.9838

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.45 (0.20 to 0.69)	<0.001	0.001	3.0 (2.0 to 4.0)	<0.001	<0.001	2.2 (1.5 to 2.8)	<0.001	<0.001	0.57 (-0.15 to 1.3)	0.12	0.48	1.2 (0.39 to 2.1)	0.004	0.016	1.1 (0.98 to 1.2)	<0.001	<0.001	-1.1 (-1.3 to -0.81)	<0.001	<0.001
mean_GaitCycleDur	-0.01 (-0.09 to 0.06)	0.78	0.78	0.23 (0.07 to 0.39)	0.004	0.008	0.10 (0.00 to 0.19)	0.050	0.067	-0.09 (-0.46 to 0.28)	0.65	0.96	0.06 (-0.29 to 0.42)	0.73	0.73	-0.02 (-0.04 to 0.00)	0.039	0.077	-0.03 (-0.06 to -0.01)	0.015	0.026
group_char		0.37	0.74		0.28	0.28		0.49	0.49		0.96	0.96		0.17	0.22		0.59	0.59		0.73	0.73
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.15 (-0.55 to 0.25)			-0.51 (-2.0 to 1.0)			0.22 (-0.77 to 1.2)			-0.17 (-1.4 to 1.1)			1.2 (-0.20 to 2.7)			-0.08 (-0.25 to 0.08)			-0.13 (-0.51 to 0.25)
H3000’s	-0.28 (-0.67 to 0.11)			-1.2 (-2.7 to 0.28)			0.58 (-0.37 to 1.5)			-0.12 (-1.3 to 1.1)			-0.18 (-1.6 to 1.3)			-0.05 (-0.20 to 0.11)			0.01 (-0.35 to 0.37)
mean_GaitCycleDur * group_char		0.67	0.78		0.12	0.16		0.023	0.046		0.94	0.96		0.035	0.070		0.080	0.11		0.019	0.026
mean_GaitCycleDur * H2000’s	-0.07 (-0.22 to 0.09)			0.08 (-0.26 to 0.41)			0.14 (-0.07 to 0.34)			-0.01 (-0.76 to 0.73)			-0.21 (-0.94 to 0.53)			-0.02 (-0.06 to 0.01)			-0.03 (-0.08 to 0.02)
mean_GaitCycleDur * H3000’s	-0.04 (-0.22 to 0.13)			0.40 (0.02 to 0.78)			0.31 (0.08 to 0.53)			-0.14 (-0.93 to 0.65)			0.98 (0.17 to 1.8)			-0.04 (-0.09 to 0.00)			-0.08 (-0.14 to -0.02)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.14 (NA to NA)			1.3 (NA to NA)			0.25 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.53 (NA to NA)			0.32 (NA to NA)			1.3 (NA to NA)			1.2 (NA to NA)			0.06 (NA to NA)			0.08 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0646, R2c: 0.8239

alpha_avg_power R2m: 0.0219, R2c: 0.9556

beta_avg_power R2m: 0.0632, R2c: 0.9636

theta_div_beta R2m: 0.0111, R2c: 0.0237

log_theta_div_beta R2m: 0.0949, R2c: 0.5865

aperiodic_exp R2m: 0.0429, R2c: 0.9517

aperiodic_offset R2m: 0.0143, R2c: 0.9838

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 4
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.37 (0.14 to 0.60)	0.002	0.006	3.6 (2.6 to 4.6)	<0.001	<0.001	2.4 (1.8 to 3.1)	<0.001	<0.001	0.36 (-0.22 to 0.94)	0.23	0.73	1.7 (1.0 to 2.5)	<0.001	<0.001	1.0 (0.92 to 1.1)	<0.001	<0.001	-1.2 (-1.4 to -0.91)	<0.001	<0.001
mean_PeakUpDownVel_mean	0.26 (-0.18 to 0.70)	0.25	0.33	-0.67 (-1.6 to 0.30)	0.17	0.23	-0.46 (-1.0 to 0.10)	0.11	0.11	0.25 (-2.0 to 2.5)	0.83	0.83	-1.7 (-3.8 to 0.44)	0.12	0.12	0.13 (0.03 to 0.24)	0.013	0.027	0.19 (0.04 to 0.33)	0.013	0.025
group_char		0.13	0.26		0.83	0.83		0.017	0.023		0.37	0.73		0.007	0.014		0.20	0.26		0.57	0.57
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.27 (-0.62 to 0.08)			-0.39 (-1.9 to 1.1)			0.49 (-0.46 to 1.4)			-0.54 (-1.4 to 0.34)			0.49 (-0.63 to 1.6)			-0.13 (-0.28 to 0.03)			-0.20 (-0.57 to 0.18)
H3000’s	-0.32 (-0.65 to 0.02)			-0.38 (-1.8 to 1.0)			1.3 (0.41 to 2.2)			-0.52 (-1.4 to 0.31)			1.7 (0.62 to 2.8)			-0.11 (-0.26 to 0.04)			-0.13 (-0.48 to 0.23)
mean_PeakUpDownVel_mean * group_char		0.93	0.93		0.12	0.23		0.004	0.007		0.67	0.83		0.060	0.080		0.85	0.85		0.47	0.57
mean_PeakUpDownVel_mean * H2000’s	0.07 (-0.58 to 0.72)			-0.22 (-1.6 to 1.2)			-0.29 (-1.1 to 0.53)			1.4 (-1.8 to 4.6)			1.8 (-1.3 to 4.8)			0.04 (-0.11 to 0.20)			0.08 (-0.14 to 0.29)
mean_PeakUpDownVel_mean * H3000’s	-0.06 (-0.70 to 0.58)			-1.4 (-2.8 to 0.01)			-1.3 (-2.1 to -0.52)			0.94 (-2.1 to 4.0)			-2.0 (-5.0 to 1.0)			0.03 (-0.12 to 0.18)			0.13 (-0.08 to 0.34)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)			0.09 (NA to NA)			1.3 (NA to NA)			0.25 (NA to NA)			0.63 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.54 (NA to NA)			0.31 (NA to NA)			1.3 (NA to NA)			1.2 (NA to NA)			0.06 (NA to NA)			0.08 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0651, R2c: 0.8252

alpha_avg_power R2m: 0.0211, R2c: 0.954

beta_avg_power R2m: 0.0679, R2c: 0.9654

theta_div_beta R2m: 0.0202, R2c: 0.0253

log_theta_div_beta R2m: 0.1063, R2c: 0.586

aperiodic_exp R2m: 0.043, R2c: 0.9525

aperiodic_offset R2m: 0.0143, R2c: 0.9841

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_avg_power for Cluster: 5
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.48 (0.04 to 0.93)	0.033	0.13	2.5 (1.4 to 3.6)	<0.001	<0.001	1.2 (0.66 to 1.7)	<0.001	<0.001	0.12 (-14 to 14)	0.99	0.99	1.7 (0.28 to 3.1)	0.019	0.026	0.81 (0.61 to 1.0)	<0.001	<0.001	-1.1 (-1.4 to -0.85)	<0.001	<0.001
mean_APexc_COV	-0.02 (-0.04 to 0.01)	0.16	0.31	-0.01 (-0.05 to 0.04)	0.81	0.81	0.00 (-0.02 to 0.02)	0.83	0.83	0.02 (-0.82 to 0.86)	0.96	0.99	-0.02 (-0.10 to 0.06)	0.65	0.65	0.00 (-0.01 to 0.01)	0.78	0.78	0.00 (-0.01 to 0.00)	0.31	0.45
group_char		0.54	0.54		0.55	0.81		0.11	0.22		0.79	0.99		<0.001	<0.001		0.43	0.59		0.44	0.45
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.14 (-0.96 to 0.67)			0.07 (-2.1 to 2.2)			0.62 (-0.39 to 1.6)			4.8 (-19 to 29)			-6.7 (-9.2 to -4.1)			0.16 (-0.20 to 0.53)			0.10 (-0.44 to 0.65)
H3000’s	0.33 (-0.40 to 1.1)			-0.96 (-2.8 to 0.89)			-0.55 (-1.4 to 0.31)			7.1 (-13 to 27)			-0.94 (-3.2 to 1.3)			-0.10 (-0.42 to 0.22)			0.30 (-0.16 to 0.77)
mean_APexc_COV * group_char		0.32	0.43		0.63	0.81		0.66	0.83		0.89	0.99		<0.001	<0.001		0.44	0.59		0.45	0.45
mean_APexc_COV * H2000’s	0.03 (-0.01 to 0.06)			-0.02 (-0.08 to 0.04)			-0.01 (-0.04 to 0.02)			-0.29 (-1.5 to 0.91)			0.37 (0.25 to 0.49)			0.00 (-0.01 to 0.02)			0.01 (-0.01 to 0.02)
mean_APexc_COV * H3000’s	0.01 (-0.02 to 0.04)			0.01 (-0.04 to 0.06)			0.00 (-0.02 to 0.02)			-0.16 (-1.2 to 0.84)			0.05 (-0.05 to 0.15)			0.01 (0.00 to 0.02)			0.01 (0.00 to 0.02)
subj_char.sd__(Intercept)	0.62 (NA to NA)			2.2 (NA to NA)			1.1 (NA to NA)			3.5 (NA to NA)			1.3 (NA to NA)			0.34 (NA to NA)			0.59 (NA to NA)
Residual.sd__Observation	0.32 (NA to NA)			0.58 (NA to NA)			0.25 (NA to NA)			14 (NA to NA)			1.2 (NA to NA)			0.12 (NA to NA)			0.13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0844, R2c: 0.8111

alpha_avg_power R2m: 0.0201, R2c: 0.9391

beta_avg_power R2m: 0.0843, R2c: 0.9548

theta_div_beta R2m: 0.0164, R2c: 0.0741

log_theta_div_beta R2m: 0.2511, R2c: 0.651

aperiodic_exp R2m: 0.0468, R2c: 0.8965

aperiodic_offset R2m: 0.1035, R2c: 0.9557

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in alpha_avg_power for Cluster: 5
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.53 (0.17 to 0.88)	0.004	0.014	2.2 (1.2 to 3.2)	<0.001	<0.001	1.0 (0.56 to 1.5)	<0.001	<0.001	-0.22 (-11 to 10)	0.97	0.97	1.5 (0.27 to 2.7)	0.017	0.068	0.87 (0.70 to 1.0)	<0.001	<0.001	-1.0 (-1.3 to -0.79)	<0.001	<0.001
mean_APexc_mean	-5.6 (-10 to -1.1)	0.015	0.031	3.4 (-5.0 to 12)	0.43	0.44	2.1 (-1.5 to 5.7)	0.26	0.34	12 (-175 to 200)	0.90	0.97	-1.8 (-22 to 19)	0.87	0.87	-1.4 (-3.1 to 0.27)	0.10	0.13	-3.1 (-4.9 to -1.2)	0.001	0.003
group_char		0.47	0.47		0.44	0.44		0.088	0.18		0.025	0.10		0.81	0.87		0.93	0.93		0.13	0.13
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.03 (-0.70 to 0.64)			-0.22 (-2.2 to 1.8)			0.62 (-0.32 to 1.6)			-17 (-36 to 1.8)			-0.01 (-2.2 to 2.2)			0.01 (-0.32 to 0.33)			-0.09 (-0.60 to 0.42)
H3000’s	0.33 (-0.24 to 0.89)			-1.1 (-2.7 to 0.58)			-0.52 (-1.3 to 0.26)			9.1 (-5.9 to 24)			-0.58 (-2.4 to 1.3)			0.05 (-0.22 to 0.32)			0.38 (-0.04 to 0.81)
mean_APexc_mean * group_char		0.36	0.47		0.44	0.44		0.46	0.46		0.057	0.11		0.34	0.67		0.042	0.084		0.008	0.010
mean_APexc_mean * H2000’s	6.5 (-2.5 to 15)			-1.7 (-18 to 15)			-4.4 (-12 to 2.7)			328 (-30 to 687)			27 (-13 to 66)			4.1 (0.74 to 7.4)			5.8 (2.1 to 9.5)
mean_APexc_mean * H3000’s	0.85 (-8.0 to 9.7)			9.9 (-6.7 to 27)			-0.21 (-7.4 to 7.0)			-152 (-466 to 162)			19 (-18 to 56)			-0.25 (-3.6 to 3.1)			0.76 (-3.0 to 4.5)
subj_char.sd__(Intercept)	0.61 (NA to NA)			2.2 (NA to NA)			1.1 (NA to NA)			4.1 (NA to NA)			1.1 (NA to NA)			0.34 (NA to NA)			0.59 (NA to NA)
Residual.sd__Observation	0.31 (NA to NA)			0.57 (NA to NA)			0.25 (NA to NA)			14 (NA to NA)			1.4 (NA to NA)			0.12 (NA to NA)			0.13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0906, R2c: 0.8145

alpha_avg_power R2m: 0.0221, R2c: 0.9406

beta_avg_power R2m: 0.0843, R2c: 0.9551

theta_div_beta R2m: 0.0442, R2c: 0.1209

log_theta_div_beta R2m: 0.0749, R2c: 0.4307

aperiodic_exp R2m: 0.0473, R2c: 0.9033

aperiodic_offset R2m: 0.1053, R2c: 0.9607

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in beta_avg_power for Cluster: 5
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.12 (-0.25 to 0.48)	0.53	0.53	2.2 (1.2 to 3.3)	<0.001	<0.001	1.1 (0.61 to 1.6)	<0.001	<0.001	-0.55 (-9.2 to 8.1)	0.90	0.90	2.0 (0.93 to 3.2)	<0.001	0.001	0.80 (0.63 to 0.97)	<0.001	<0.001	-1.2 (-1.5 to -0.99)	<0.001	<0.001
mean_MLexc_COV	0.01 (-0.01 to 0.02)	0.43	0.53	0.01 (-0.02 to 0.04)	0.53	0.71	0.00 (-0.01 to 0.02)	0.63	0.64	0.07 (-0.47 to 0.61)	0.81	0.90	-0.04 (-0.11 to 0.02)	0.20	0.20	0.00 (-0.01 to 0.01)	0.84	0.84	0.00 (0.00 to 0.01)	0.50	0.50
group_char		0.34	0.53		0.99	0.99		0.64	0.64		0.38	0.76		0.12	0.16		0.23	0.46		0.26	0.34
H1000’s	—			—			—			—			—			—			—
H2000’s	0.54 (-0.19 to 1.3)			0.02 (-2.0 to 2.1)			0.28 (-0.68 to 1.2)			11 (-8.5 to 31)			-1.4 (-3.8 to 0.95)			0.29 (-0.05 to 0.63)			0.36 (-0.16 to 0.88)
H3000’s	0.21 (-0.40 to 0.81)			-0.05 (-1.7 to 1.6)			-0.21 (-1.0 to 0.58)			-4.7 (-21 to 12)			-2.0 (-3.9 to 0.00)			0.03 (-0.25 to 0.32)			0.28 (-0.15 to 0.71)
mean_MLexc_COV * group_char		0.25	0.53		0.24	0.47		0.067	0.13		0.18	0.71		0.009	0.018		0.58	0.77		0.014	0.028
mean_MLexc_COV * H2000’s	-0.02 (-0.05 to 0.02)			-0.02 (-0.09 to 0.04)			0.01 (-0.02 to 0.04)			-0.89 (-2.2 to 0.42)			0.19 (0.04 to 0.34)			-0.01 (-0.02 to 0.01)			-0.01 (-0.03 to 0.00)
mean_MLexc_COV * H3000’s	0.02 (-0.01 to 0.05)			-0.05 (-0.10 to 0.01)			-0.02 (-0.05 to 0.00)			0.55 (-0.54 to 1.6)			0.15 (0.03 to 0.27)			0.00 (-0.01 to 0.01)			0.01 (0.00 to 0.03)
subj_char.sd__(Intercept)	0.62 (NA to NA)			2.2 (NA to NA)			1.1 (NA to NA)			3.7 (NA to NA)			1.1 (NA to NA)			0.34 (NA to NA)			0.59 (NA to NA)
Residual.sd__Observation	0.31 (NA to NA)			0.57 (NA to NA)			0.24 (NA to NA)			14 (NA to NA)			1.4 (NA to NA)			0.12 (NA to NA)			0.13 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0859, R2c: 0.8165

alpha_avg_power R2m: 0.0211, R2c: 0.9402

beta_avg_power R2m: 0.086, R2c: 0.9559

theta_div_beta R2m: 0.0319, R2c: 0.0947

log_theta_div_beta R2m: 0.1064, R2c: 0.4274

aperiodic_exp R2m: 0.0436, R2c: 0.8964

aperiodic_offset R2m: 0.1067, R2c: 0.9584

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_div_beta for Cluster: 5
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.50 (0.15 to 0.84)	0.004	0.018	2.3 (1.3 to 3.3)	<0.001	<0.001	1.1 (0.62 to 1.6)	<0.001	<0.001	0.48 (-8.6 to 9.6)	0.92	0.99	1.1 (-0.01 to 2.2)	0.051	0.20	0.84 (0.68 to 1.0)	<0.001	<0.001	-1.1 (-1.3 to -0.81)	<0.001	<0.001
mean_MLexc_mean	-3.5 (-6.3 to -0.64)	0.016	0.032	1.7 (-3.6 to 6.9)	0.53	0.53	0.73 (-1.6 to 3.0)	0.53	0.53	-0.31 (-107 to 107)	0.99	0.99	3.5 (-8.9 to 16)	0.58	0.61	-0.65 (-1.7 to 0.43)	0.24	0.32	-1.8 (-2.9 to -0.61)	0.003	0.004
group_char		0.17	0.17		0.32	0.42		0.037	0.073		0.019	0.077		0.54	0.61		0.89	0.89		0.055	0.055
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.07 (-0.71 to 0.56)			-0.27 (-2.2 to 1.6)			0.60 (-0.31 to 1.5)			-16 (-33 to -0.03)			1.0 (-0.96 to 3.0)			0.05 (-0.26 to 0.36)			-0.06 (-0.56 to 0.44)
H3000’s	0.46 (-0.07 to 0.98)			-1.2 (-2.8 to 0.37)			-0.66 (-1.4 to 0.10)			7.1 (-5.9 to 20)			0.70 (-0.94 to 2.3)			0.06 (-0.20 to 0.32)			0.47 (0.05 to 0.88)
mean_MLexc_mean * group_char		0.054	0.072		0.19	0.38		0.12	0.16		0.040	0.081		0.61	0.61		0.051	0.10		<0.001	0.001
mean_MLexc_mean * H2000’s	4.7 (0.42 to 9.0)			-0.79 (-8.8 to 7.2)			-2.4 (-5.9 to 1.1)			163 (-8.2 to 335)			2.4 (-17 to 22)			1.8 (0.20 to 3.5)			3.1 (1.3 to 4.9)
mean_MLexc_mean * H3000’s	0.14 (-3.7 to 4.0)			5.5 (-1.7 to 13)			1.1 (-2.0 to 4.2)			-48 (-191 to 96)			-6.3 (-23 to 11)			0.11 (-1.4 to 1.6)			0.06 (-1.5 to 1.7)
subj_char.sd__(Intercept)	0.62 (NA to NA)			2.2 (NA to NA)			1.1 (NA to NA)			4.7 (NA to NA)			1.1 (NA to NA)			0.34 (NA to NA)			0.59 (NA to NA)
Residual.sd__Observation	0.30 (NA to NA)			0.56 (NA to NA)			0.24 (NA to NA)			14 (NA to NA)			1.4 (NA to NA)			0.12 (NA to NA)			0.12 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0978, R2c: 0.8269

alpha_avg_power R2m: 0.0247, R2c: 0.9414

beta_avg_power R2m: 0.0864, R2c: 0.9552

theta_div_beta R2m: 0.0464, R2c: 0.1475

log_theta_div_beta R2m: 0.0659, R2c: 0.4139

aperiodic_exp R2m: 0.0464, R2c: 0.9023

aperiodic_offset R2m: 0.1077, R2c: 0.9627

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in log_theta_div_beta for Cluster: 5
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.44 (0.13 to 0.75)	0.006	0.023	2.2 (1.3 to 3.2)	<0.001	<0.001	1.1 (0.61 to 1.5)	<0.001	<0.001	-0.07 (-8.7 to 8.6)	0.99	0.99	1.3 (0.30 to 2.3)	0.011	0.043	0.86 (0.70 to 1.0)	<0.001	<0.001	-1.1 (-1.3 to -0.83)	<0.001	<0.001
mean_StepDur	-0.24 (-0.44 to -0.04)	0.018	0.036	0.21 (-0.16 to 0.58)	0.26	0.26	0.08 (-0.08 to 0.24)	0.31	0.31	0.59 (-8.3 to 9.5)	0.90	0.99	0.10 (-0.84 to 1.0)	0.83	0.97	-0.08 (-0.15 to 0.00)	0.053	0.071	-0.15 (-0.23 to -0.07)	<0.001	<0.001
group_char		0.055	0.074		0.20	0.26		0.030	0.060		0.014	0.050		0.97	0.97		0.80	0.80		0.013	0.013
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.02 (-0.68 to 0.64)			-0.20 (-2.2 to 1.8)			0.67 (-0.26 to 1.6)			-24 (-44 to -4.5)			0.27 (-2.0 to 2.5)			0.01 (-0.30 to 0.33)			-0.07 (-0.57 to 0.43)
H3000’s	0.68 (0.10 to 1.3)			-1.5 (-3.2 to 0.17)			-0.70 (-1.5 to 0.09)			8.9 (-7.7 to 26)			-0.06 (-2.0 to 1.9)			0.09 (-0.18 to 0.37)			0.59 (0.17 to 1.0)
mean_StepDur * group_char		0.077	0.077		0.068	0.14		0.13	0.17		0.025	0.050		0.57	0.97		0.040	0.071		<0.001	<0.001
mean_StepDur * H2000’s	0.39 (-0.13 to 0.92)			-0.13 (-1.1 to 0.83)			-0.34 (-0.76 to 0.08)			29 (5.9 to 52)			1.3 (-1.1 to 3.7)			0.24 (0.04 to 0.43)			0.32 (0.11 to 0.53)
mean_StepDur * H3000’s	-0.44 (-1.0 to 0.13)			1.2 (0.16 to 2.3)			0.24 (-0.22 to 0.70)			-8.6 (-31 to 14)			0.41 (-2.1 to 2.9)			-0.07 (-0.29 to 0.15)			-0.24 (-0.47 to -0.01)
subj_char.sd__(Intercept)	0.62 (NA to NA)			2.2 (NA to NA)			1.1 (NA to NA)			4.2 (NA to NA)			1.1 (NA to NA)			0.34 (NA to NA)			0.59 (NA to NA)
Residual.sd__Observation	0.31 (NA to NA)			0.56 (NA to NA)			0.24 (NA to NA)			14 (NA to NA)			1.4 (NA to NA)			0.12 (NA to NA)			0.12 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0952, R2c: 0.8214

alpha_avg_power R2m: 0.0238, R2c: 0.9426

beta_avg_power R2m: 0.0852, R2c: 0.9558

theta_div_beta R2m: 0.0519, R2c: 0.1326

log_theta_div_beta R2m: 0.067, R2c: 0.4168

aperiodic_exp R2m: 0.0477, R2c: 0.9026

aperiodic_offset R2m: 0.11, R2c: 0.9629

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_exp for Cluster: 5
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.42 (0.13 to 0.72)	0.004	0.016	2.4 (1.5 to 3.4)	<0.001	<0.001	1.1 (0.66 to 1.6)	<0.001	<0.001	-0.36 (-7.7 to 7.0)	0.92	0.92	1.4 (0.52 to 2.3)	0.002	0.007	0.84 (0.69 to 0.99)	<0.001	<0.001	-1.1 (-1.3 to -0.86)	<0.001	<0.001
mean_UDexc_COV	-0.02 (-0.03 to 0.00)	0.008	0.016	0.00 (-0.02 to 0.02)	0.99	0.99	0.00 (-0.01 to 0.01)	0.65	0.65	0.06 (-0.45 to 0.58)	0.81	0.92	0.00 (-0.05 to 0.05)	0.99	0.99	0.00 (-0.01 to 0.00)	0.11	0.17	-0.01 (-0.01 to 0.00)	<0.001	0.002
group_char		0.025	0.034		0.29	0.39		0.041	0.083		0.13	0.52		0.96	0.99		0.84	0.84		0.037	0.037
H1000’s	—			—			—			—			—			—			—
H2000’s	0.13 (-0.45 to 0.71)			-0.36 (-2.3 to 1.5)			0.55 (-0.36 to 1.5)			-9.3 (-24 to 4.9)			-0.22 (-1.9 to 1.5)			0.09 (-0.21 to 0.39)			0.03 (-0.45 to 0.52)
H3000’s	0.68 (0.18 to 1.2)			-1.3 (-2.9 to 0.32)			-0.68 (-1.4 to 0.07)			7.7 (-5.8 to 21)			0.06 (-1.5 to 1.6)			0.02 (-0.23 to 0.27)			0.51 (0.11 to 0.92)
mean_UDexc_COV * group_char		0.060	0.060		0.15	0.30		0.16	0.22		0.26	0.52		0.089	0.18		0.12	0.17		0.006	0.008
mean_UDexc_COV * H2000’s	0.01 (-0.01 to 0.04)			0.00 (-0.04 to 0.04)			-0.01 (-0.03 to 0.01)			0.56 (-0.38 to 1.5)			0.11 (0.01 to 0.21)			0.01 (0.00 to 0.02)			0.01 (0.00 to 0.02)
mean_UDexc_COV * H3000’s	-0.01 (-0.03 to 0.01)			0.04 (0.00 to 0.07)			0.01 (-0.01 to 0.02)			-0.33 (-1.2 to 0.56)			0.01 (-0.08 to 0.10)			0.00 (0.00 to 0.01)			0.00 (-0.01 to 0.01)
subj_char.sd__(Intercept)	0.61 (NA to NA)			2.3 (NA to NA)			1.1 (NA to NA)			3.5 (NA to NA)			1.1 (NA to NA)			0.34 (NA to NA)			0.58 (NA to NA)
Residual.sd__Observation	0.30 (NA to NA)			0.57 (NA to NA)			0.24 (NA to NA)			14 (NA to NA)			1.4 (NA to NA)			0.12 (NA to NA)			0.12 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1039, R2c: 0.8264

alpha_avg_power R2m: 0.0213, R2c: 0.9417

beta_avg_power R2m: 0.0846, R2c: 0.9557

theta_div_beta R2m: 0.0283, R2c: 0.0839

log_theta_div_beta R2m: 0.0834, R2c: 0.4456

aperiodic_exp R2m: 0.0454, R2c: 0.899

aperiodic_offset R2m: 0.1094, R2c: 0.961

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_offset for Cluster: 5
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.02 (-0.29 to 0.34)	0.89	0.89	2.4 (1.5 to 3.4)	<0.001	<0.001	1.2 (0.73 to 1.6)	<0.001	<0.001	0.60 (-7.8 to 9.0)	0.89	0.97	1.3 (0.28 to 2.3)	0.012	0.033	0.74 (0.58 to 0.89)	<0.001	<0.001	-1.3 (-1.6 to -1.1)	<0.001	<0.001
mean_UDexc_mean	8.3 (0.84 to 16)	0.029	0.076	-0.66 (-15 to 14)	0.93	0.93	-1.6 (-7.6 to 4.5)	0.61	0.61	-6.0 (-333 to 321)	0.97	0.97	5.3 (-30 to 41)	0.77	0.77	2.2 (-0.74 to 5.2)	0.14	0.14	5.3 (2.2 to 8.4)	<0.001	0.001
group_char		0.21	0.28		0.93	0.93		0.60	0.61		0.14	0.27		0.016	0.033		0.064	0.11		0.071	0.071
H1000’s	—			—			—			—			—			—			—
H2000’s	0.57 (-0.07 to 1.2)			-0.34 (-2.3 to 1.6)			0.15 (-0.77 to 1.1)			16 (-0.82 to 33)			2.8 (0.79 to 4.8)			0.37 (0.06 to 0.68)			0.45 (-0.04 to 0.94)
H3000’s	0.20 (-0.31 to 0.72)			-0.22 (-1.8 to 1.4)			-0.31 (-1.1 to 0.44)			-0.57 (-14 to 12)			0.01 (-1.6 to 1.6)			0.13 (-0.12 to 0.39)			0.40 (-0.01 to 0.80)
mean_UDexc_mean * group_char		0.038	0.076		0.14	0.28		0.006	0.012		0.035	0.14		0.15	0.20		0.079	0.11		<0.001	0.001
mean_UDexc_mean * H2000’s	-11 (-26 to 4.7)			0.50 (-29 to 30)			10 (-2.0 to 22)			-727 (-1,380 to -73)			-64 (-135 to 7.7)			-6.7 (-13 to -0.66)			-10 (-17 to -4.0)
mean_UDexc_mean * H3000’s	9.7 (-2.0 to 21)			-21 (-44 to 1.0)			-10 (-19 to -0.60)			149 (-346 to 644)			7.1 (-47 to 61)			-2.9 (-7.5 to 1.7)			2.6 (-2.2 to 7.4)
subj_char.sd__(Intercept)	0.63 (NA to NA)			2.2 (NA to NA)			1.1 (NA to NA)			3.7 (NA to NA)			1.1 (NA to NA)			0.34 (NA to NA)			0.58 (NA to NA)
Residual.sd__Observation	0.30 (NA to NA)			0.57 (NA to NA)			0.24 (NA to NA)			14 (NA to NA)			1.4 (NA to NA)			0.12 (NA to NA)			0.12 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1019, R2c: 0.8366

alpha_avg_power R2m: 0.0222, R2c: 0.9415

beta_avg_power R2m: 0.0876, R2c: 0.9582

theta_div_beta R2m: 0.0487, R2c: 0.1107

log_theta_div_beta R2m: 0.0754, R2c: 0.4264

aperiodic_exp R2m: 0.0456, R2c: 0.9003

aperiodic_offset R2m: 0.1116, R2c: 0.9635

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 5
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.40 (0.11 to 0.69)	0.008	0.031	2.2 (1.3 to 3.2)	<0.001	<0.001	1.1 (0.63 to 1.5)	<0.001	<0.001	0.03 (-7.3 to 7.3)	0.99	0.99	1.3 (0.44 to 2.2)	0.003	0.013	0.84 (0.69 to 0.99)	<0.001	<0.001	-1.1 (-1.3 to -0.86)	<0.001	<0.001
mean_StanceDur	-0.15 (-0.27 to -0.03)	0.018	0.036	0.13 (-0.09 to 0.36)	0.24	0.26	0.05 (-0.05 to 0.15)	0.30	0.30	0.35 (-5.0 to 5.7)	0.90	0.99	0.07 (-0.50 to 0.64)	0.82	0.85	-0.04 (-0.09 to 0.00)	0.055	0.074	-0.09 (-0.14 to -0.04)	<0.001	<0.001
group_char		0.047	0.047		0.26	0.26		0.041	0.082		0.012	0.044		0.85	0.85		0.83	0.83		0.024	0.024
H1000’s	—			—			—			—			—			—			—
H2000’s	0.03 (-0.57 to 0.63)			-0.20 (-2.1 to 1.7)			0.61 (-0.30 to 1.5)			-19 (-35 to -3.4)			0.52 (-1.3 to 2.4)			0.06 (-0.25 to 0.36)			-0.01 (-0.50 to 0.48)
H3000’s	0.64 (0.12 to 1.2)			-1.3 (-2.9 to 0.29)			-0.65 (-1.4 to 0.11)			8.0 (-5.8 to 22)			0.00 (-1.7 to 1.7)			0.07 (-0.18 to 0.33)			0.54 (0.13 to 0.95)
mean_StanceDur * group_char		0.047	0.047		0.068	0.14		0.15	0.19		0.022	0.044		0.60	0.85		0.044	0.074		<0.001	<0.001
mean_StanceDur * H2000’s	0.25 (-0.05 to 0.54)			-0.09 (-0.64 to 0.45)			-0.19 (-0.43 to 0.04)			16 (3.5 to 29)			0.71 (-0.67 to 2.1)			0.14 (0.02 to 0.25)			0.19 (0.07 to 0.31)
mean_StanceDur * H3000’s	-0.26 (-0.58 to 0.06)			0.67 (0.08 to 1.3)			0.12 (-0.14 to 0.37)			-5.3 (-18 to 7.9)			0.23 (-1.2 to 1.7)			-0.03 (-0.15 to 0.10)			-0.12 (-0.25 to 0.01)
subj_char.sd__(Intercept)	0.62 (NA to NA)			2.2 (NA to NA)			1.1 (NA to NA)			4.2 (NA to NA)			1.1 (NA to NA)			0.34 (NA to NA)			0.59 (NA to NA)
Residual.sd__Observation	0.30 (NA to NA)			0.56 (NA to NA)			0.24 (NA to NA)			14 (NA to NA)			1.4 (NA to NA)			0.12 (NA to NA)			0.12 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0955, R2c: 0.8222

alpha_avg_power R2m: 0.0234, R2c: 0.9428

beta_avg_power R2m: 0.085, R2c: 0.9558

theta_div_beta R2m: 0.0535, R2c: 0.135

log_theta_div_beta R2m: 0.067, R2c: 0.416

aperiodic_exp R2m: 0.0471, R2c: 0.9021

aperiodic_offset R2m: 0.109, R2c: 0.9626

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 5
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.44 (0.13 to 0.75)	0.006	0.023	2.2 (1.3 to 3.2)	<0.001	<0.001	1.1 (0.61 to 1.5)	<0.001	<0.001	-0.08 (-8.7 to 8.6)	0.99	0.99	1.3 (0.30 to 2.3)	0.011	0.043	0.86 (0.70 to 1.0)	<0.001	<0.001	-1.1 (-1.3 to -0.83)	<0.001	<0.001
mean_GaitCycleDur	-0.12 (-0.22 to -0.02)	0.018	0.036	0.11 (-0.08 to 0.29)	0.26	0.26	0.04 (-0.04 to 0.12)	0.31	0.31	0.30 (-4.2 to 4.7)	0.90	0.99	0.05 (-0.42 to 0.52)	0.83	0.97	-0.04 (-0.08 to 0.00)	0.053	0.070	-0.07 (-0.11 to -0.03)	<0.001	<0.001
group_char		0.056	0.075		0.20	0.26		0.030	0.060		0.014	0.050		0.97	0.97		0.80	0.80		0.013	0.013
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.02 (-0.68 to 0.64)			-0.20 (-2.2 to 1.8)			0.67 (-0.26 to 1.6)			-24 (-43 to -4.4)			0.25 (-2.0 to 2.5)			0.01 (-0.30 to 0.33)			-0.07 (-0.57 to 0.44)
H3000’s	0.68 (0.10 to 1.3)			-1.5 (-3.2 to 0.17)			-0.70 (-1.5 to 0.09)			8.9 (-7.7 to 26)			-0.06 (-2.0 to 1.9)			0.09 (-0.18 to 0.37)			0.59 (0.16 to 1.0)
mean_GaitCycleDur * group_char		0.079	0.079		0.068	0.14		0.13	0.17		0.025	0.050		0.56	0.97		0.040	0.070		<0.001	<0.001
mean_GaitCycleDur * H2000’s	0.19 (-0.07 to 0.46)			-0.06 (-0.54 to 0.42)			-0.17 (-0.38 to 0.04)			14 (2.9 to 26)			0.66 (-0.56 to 1.9)			0.12 (0.02 to 0.22)			0.16 (0.06 to 0.27)
mean_GaitCycleDur * H3000’s	-0.22 (-0.50 to 0.07)			0.60 (0.08 to 1.1)			0.12 (-0.11 to 0.35)			-4.3 (-15 to 6.8)			0.20 (-1.1 to 1.5)			-0.03 (-0.14 to 0.07)			-0.12 (-0.23 to 0.00)
subj_char.sd__(Intercept)	0.62 (NA to NA)			2.2 (NA to NA)			1.1 (NA to NA)			4.2 (NA to NA)			1.1 (NA to NA)			0.34 (NA to NA)			0.59 (NA to NA)
Residual.sd__Observation	0.31 (NA to NA)			0.56 (NA to NA)			0.24 (NA to NA)			14 (NA to NA)			1.4 (NA to NA)			0.12 (NA to NA)			0.12 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0951, R2c: 0.8214

alpha_avg_power R2m: 0.0238, R2c: 0.9426

beta_avg_power R2m: 0.0852, R2c: 0.9558

theta_div_beta R2m: 0.0518, R2c: 0.1324

log_theta_div_beta R2m: 0.0672, R2c: 0.417

aperiodic_exp R2m: 0.0476, R2c: 0.9026

aperiodic_offset R2m: 0.11, R2c: 0.9629

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 5
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.05 (-0.24 to 0.33)	0.76	0.76	2.5 (1.5 to 3.4)	<0.001	<0.001	1.2 (0.73 to 1.6)	<0.001	<0.001	0.73 (-6.1 to 7.6)	0.84	0.93	1.4 (0.62 to 2.3)	<0.001	0.002	0.74 (0.59 to 0.89)	<0.001	<0.001	-1.3 (-1.6 to -1.1)	<0.001	<0.001
mean_PeakUpDownVel_mean	0.74 (0.18 to 1.3)	0.009	0.036	-0.27 (-1.3 to 0.81)	0.63	0.84	-0.15 (-0.60 to 0.31)	0.53	0.53	-1.2 (-27 to 25)	0.93	0.93	-0.22 (-2.9 to 2.5)	0.87	0.87	0.20 (-0.02 to 0.43)	0.069	0.069	0.43 (0.20 to 0.66)	<0.001	<0.001
group_char		0.17	0.23		0.87	0.87		0.44	0.53		0.18	0.35		0.021	0.041		0.066	0.069		0.073	0.073
H1000’s	—			—			—			—			—			—			—
H2000’s	0.54 (-0.04 to 1.1)			-0.35 (-2.2 to 1.5)			0.20 (-0.69 to 1.1)			13 (-0.87 to 27)			2.2 (0.53 to 3.9)			0.35 (0.05 to 0.64)			0.40 (-0.08 to 0.89)
H3000’s	0.23 (-0.25 to 0.71)			-0.36 (-1.9 to 1.2)			-0.38 (-1.1 to 0.36)			1.5 (-9.8 to 13)			-0.19 (-1.6 to 1.2)			0.14 (-0.11 to 0.38)			0.41 (0.01 to 0.81)
mean_PeakUpDownVel_mean * group_char		0.020	0.039		0.24	0.48		0.012	0.024		0.042	0.17		0.20	0.26		0.027	0.055		<0.001	<0.001
mean_PeakUpDownVel_mean * H2000’s	-0.95 (-2.0 to 0.14)			0.14 (-2.0 to 2.2)			0.77 (-0.12 to 1.7)			-57 (-108 to -7.3)			-3.7 (-9.0 to 1.6)			-0.56 (-0.99 to -0.13)			-0.82 (-1.3 to -0.37)
mean_PeakUpDownVel_mean * H3000’s	0.67 (-0.19 to 1.5)			-1.3 (-3.0 to 0.35)			-0.62 (-1.3 to 0.08)			5.7 (-33 to 44)			1.4 (-2.7 to 5.5)			-0.29 (-0.62 to 0.05)			0.12 (-0.23 to 0.47)
subj_char.sd__(Intercept)	0.62 (NA to NA)			2.2 (NA to NA)			1.1 (NA to NA)			3.6 (NA to NA)			1.1 (NA to NA)			0.34 (NA to NA)			0.58 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.57 (NA to NA)			0.24 (NA to NA)			14 (NA to NA)			1.4 (NA to NA)			0.12 (NA to NA)			0.12 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1052, R2c: 0.8376

alpha_avg_power R2m: 0.022, R2c: 0.9412

beta_avg_power R2m: 0.0871, R2c: 0.9574

theta_div_beta R2m: 0.0486, R2c: 0.1099

log_theta_div_beta R2m: 0.073, R2c: 0.4183

aperiodic_exp R2m: 0.0464, R2c: 0.9017

aperiodic_offset R2m: 0.1108, R2c: 0.9638

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_avg_power for Cluster: 6
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.4 (0.91 to 1.9)	<0.001	<0.001	0.78 (0.27 to 1.3)	0.003	0.011	1.2 (0.74 to 1.7)	<0.001	<0.001	7.2 (-0.74 to 15)	0.075	0.30	0.12 (-0.51 to 0.75)	0.71	0.71	1.2 (1.1 to 1.3)	<0.001	<0.001	-1.0 (-1.3 to -0.76)	<0.001	<0.001
mean_APexc_COV	0.00 (-0.02 to 0.02)	0.87	0.87	0.00 (-0.02 to 0.02)	0.94	0.94	0.00 (-0.02 to 0.01)	0.69	0.69	-0.17 (-0.65 to 0.30)	0.47	0.63	0.02 (-0.01 to 0.05)	0.12	0.30	-0.01 (-0.01 to 0.00)	0.055	0.11	-0.01 (-0.01 to 0.00)	0.10	0.19
group_char		0.27	0.53		0.11	0.15		0.13	0.18		0.45	0.63		0.15	0.30		0.10	0.14		0.16	0.21
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.64 (-1.4 to 0.15)			0.40 (-0.40 to 1.2)			0.80 (0.00 to 1.6)			-7.2 (-20 to 5.1)			0.87 (-0.13 to 1.9)			-0.21 (-0.42 to 0.00)			-0.31 (-0.73 to 0.11)
H3000’s	-0.38 (-1.2 to 0.40)			-0.52 (-1.3 to 0.27)			0.14 (-0.63 to 0.92)			-6.0 (-18 to 5.8)			0.77 (-0.21 to 1.8)			-0.01 (-0.22 to 0.19)			0.12 (-0.29 to 0.53)
mean_APexc_COV * group_char		0.87	0.87		0.010	0.020		0.061	0.12		0.74	0.74		0.37	0.50		0.45	0.45		0.29	0.29
mean_APexc_COV * H2000’s	0.00 (-0.03 to 0.02)			-0.02 (-0.05 to 0.01)			0.00 (-0.02 to 0.02)			0.25 (-0.37 to 0.86)			-0.02 (-0.06 to 0.02)			0.00 (0.00 to 0.01)			0.00 (0.00 to 0.01)
mean_APexc_COV * H3000’s	-0.01 (-0.03 to 0.02)			0.02 (-0.01 to 0.04)			0.02 (0.00 to 0.03)			0.15 (-0.43 to 0.73)			-0.03 (-0.07 to 0.01)			0.00 (0.00 to 0.01)			0.00 (-0.01 to 0.01)
subj_char.sd__(Intercept)	0.94 (NA to NA)			0.94 (NA to NA)			1.1 (NA to NA)			3.6 (NA to NA)			0.99 (NA to NA)			0.26 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.32 (NA to NA)			0.34 (NA to NA)			0.22 (NA to NA)			8.6 (NA to NA)			0.48 (NA to NA)			0.08 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0921, R2c: 0.905

alpha_avg_power R2m: 0.0104, R2c: 0.8874

beta_avg_power R2m: 0.0665, R2c: 0.9649

theta_div_beta R2m: 0.034, R2c: 0.1758

log_theta_div_beta R2m: 0.0394, R2c: 0.8146

aperiodic_exp R2m: 0.057, R2c: 0.9099

aperiodic_offset R2m: 0.035, R2c: 0.9753

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in alpha_avg_power for Cluster: 6
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.5 (1.1 to 2.0)	<0.001	<0.001	0.66 (0.21 to 1.1)	0.004	0.017	1.0 (0.55 to 1.5)	<0.001	<0.001	3.3 (-3.3 to 9.9)	0.32	0.96	0.44 (-0.10 to 0.99)	0.11	0.45	1.2 (1.0 to 1.3)	<0.001	<0.001	-1.0 (-1.3 to -0.77)	<0.001	<0.001
mean_APexc_mean	-1.3 (-5.8 to 3.3)	0.59	0.59	1.9 (-3.0 to 6.8)	0.45	0.60	3.1 (0.07 to 6.2)	0.045	0.072	20 (-96 to 136)	0.73	0.96	1.3 (-5.7 to 8.3)	0.72	0.89	-1.2 (-2.4 to -0.06)	0.040	0.081	-1.6 (-3.1 to -0.17)	0.029	0.057
group_char		0.18	0.36		0.64	0.64		0.30	0.30		0.86	0.96		0.39	0.79		0.15	0.20		0.26	0.35
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.64 (-1.3 to 0.05)			-0.14 (-0.85 to 0.57)			0.45 (-0.30 to 1.2)			-1.8 (-11 to 7.8)			0.59 (-0.26 to 1.4)			-0.17 (-0.36 to 0.01)			-0.30 (-0.70 to 0.11)
H3000’s	-0.36 (-1.0 to 0.30)			-0.33 (-1.0 to 0.34)			0.51 (-0.21 to 1.2)			-2.4 (-11 to 6.3)			0.28 (-0.51 to 1.1)			-0.02 (-0.19 to 0.16)			0.02 (-0.36 to 0.40)
mean_APexc_mean * group_char		0.42	0.57		0.30	0.60		0.054	0.072		0.96	0.96		0.89	0.89		0.84	0.84		0.72	0.72
mean_APexc_mean * H2000’s	-1.9 (-9.5 to 5.7)			1.4 (-6.6 to 9.5)			6.1 (1.1 to 11)			-17 (-200 to 167)			-1.5 (-13 to 10)			0.33 (-1.6 to 2.3)			0.84 (-1.6 to 3.3)
mean_APexc_mean * H3000’s	-5.0 (-12 to 2.5)			6.2 (-1.8 to 14)			1.1 (-3.9 to 6.1)			-26 (-198 to 147)			1.6 (-9.7 to 13)			-0.34 (-2.3 to 1.6)			-0.20 (-2.6 to 2.2)
subj_char.sd__(Intercept)	0.93 (NA to NA)			0.93 (NA to NA)			1.1 (NA to NA)			3.5 (NA to NA)			0.98 (NA to NA)			0.25 (NA to NA)			0.61 (NA to NA)
Residual.sd__Observation	0.32 (NA to NA)			0.34 (NA to NA)			0.21 (NA to NA)			8.6 (NA to NA)			0.49 (NA to NA)			0.08 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0978, R2c: 0.9047

alpha_avg_power R2m: 0.0095, R2c: 0.8836

beta_avg_power R2m: 0.0713, R2c: 0.9683

theta_div_beta R2m: 0.0317, R2c: 0.1714

log_theta_div_beta R2m: 0.0373, R2c: 0.8113

aperiodic_exp R2m: 0.0597, R2c: 0.9092

aperiodic_offset R2m: 0.035, R2c: 0.9747

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in beta_avg_power for Cluster: 6
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.1 (0.68 to 1.6)	<0.001	<0.001	0.78 (0.30 to 1.3)	0.001	0.005	1.2 (0.76 to 1.7)	<0.001	<0.001	3.5 (-2.3 to 9.3)	0.24	0.60	0.67 (0.09 to 1.2)	0.022	0.089	1.1 (0.95 to 1.2)	<0.001	<0.001	-1.1 (-1.4 to -0.88)	<0.001	<0.001
mean_MLexc_COV	0.02 (0.00 to 0.04)	0.033	0.065	0.00 (-0.02 to 0.02)	0.92	0.92	0.00 (-0.02 to 0.01)	0.62	0.62	0.06 (-0.31 to 0.44)	0.75	0.75	-0.01 (-0.04 to 0.02)	0.47	0.54	0.00 (0.00 to 0.01)	0.41	0.48	0.00 (0.00 to 0.01)	0.51	0.69
group_char		0.24	0.32		0.74	0.92		0.045	0.091		0.33	0.60		0.38	0.54		0.088	0.18		0.29	0.57
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.60 (-1.3 to 0.10)			-0.08 (-0.81 to 0.64)			0.95 (0.19 to 1.7)			-6.7 (-16 to 2.2)			0.58 (-0.28 to 1.4)			-0.19 (-0.38 to 0.00)			-0.28 (-0.69 to 0.12)
H3000’s	-0.30 (-0.98 to 0.38)			-0.28 (-0.99 to 0.43)			0.52 (-0.20 to 1.3)			-2.2 (-11 to 6.9)			0.08 (-0.77 to 0.93)			0.01 (-0.17 to 0.20)			0.03 (-0.36 to 0.42)
mean_MLexc_COV * group_char		0.50	0.50		0.64	0.92		0.13	0.17		0.45	0.60		0.54	0.54		0.48	0.48		0.79	0.79
mean_MLexc_COV * H2000’s	-0.01 (-0.04 to 0.02)			0.00 (-0.03 to 0.03)			-0.02 (-0.04 to 0.00)			0.28 (-0.29 to 0.86)			-0.01 (-0.05 to 0.04)			0.00 (0.00 to 0.01)			0.00 (-0.01 to 0.01)
mean_MLexc_COV * H3000’s	-0.02 (-0.04 to 0.01)			0.01 (-0.02 to 0.04)			0.00 (-0.02 to 0.02)			-0.11 (-0.71 to 0.49)			0.02 (-0.02 to 0.06)			0.00 (-0.01 to 0.01)			0.00 (-0.01 to 0.01)
subj_char.sd__(Intercept)	0.92 (NA to NA)			0.93 (NA to NA)			1.1 (NA to NA)			3.4 (NA to NA)			0.98 (NA to NA)			0.25 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.32 (NA to NA)			0.34 (NA to NA)			0.22 (NA to NA)			8.6 (NA to NA)			0.48 (NA to NA)			0.08 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.101, R2c: 0.9032

alpha_avg_power R2m: 0.0032, R2c: 0.8792

beta_avg_power R2m: 0.0683, R2c: 0.9649

theta_div_beta R2m: 0.0419, R2c: 0.1742

log_theta_div_beta R2m: 0.0393, R2c: 0.8127

aperiodic_exp R2m: 0.057, R2c: 0.9067

aperiodic_offset R2m: 0.0339, R2c: 0.974

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_div_beta for Cluster: 6
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.7 (1.3 to 2.2)	<0.001	<0.001	0.73 (0.29 to 1.2)	0.001	0.005	1.0 (0.54 to 1.5)	<0.001	<0.001	5.3 (-0.38 to 11)	0.067	0.27	0.33 (-0.19 to 0.86)	0.21	0.40	1.1 (1.0 to 1.2)	<0.001	<0.001	-1.1 (-1.3 to -0.81)	<0.001	<0.001
mean_MLexc_mean	-3.5 (-6.2 to -0.85)	0.010	0.020	0.34 (-2.6 to 3.3)	0.82	0.82	2.3 (0.50 to 4.2)	0.013	0.025	-11 (-76 to 53)	0.73	0.97	2.2 (-1.9 to 6.4)	0.30	0.40	-0.38 (-1.1 to 0.33)	0.29	0.51	-0.55 (-1.4 to 0.31)	0.21	0.42
group_char		0.029	0.039		0.80	0.82		0.19	0.26		0.52	0.97		0.30	0.40		0.49	0.51		0.40	0.53
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.85 (-1.5 to -0.18)			-0.08 (-0.77 to 0.60)			0.57 (-0.17 to 1.3)			-3.7 (-12 to 4.5)			0.59 (-0.19 to 1.4)			-0.10 (-0.28 to 0.08)			-0.21 (-0.61 to 0.19)
H3000’s	-0.62 (-1.3 to 0.02)			-0.22 (-0.87 to 0.43)			0.55 (-0.15 to 1.3)			-4.3 (-12 to 3.5)			0.42 (-0.34 to 1.2)			0.00 (-0.18 to 0.17)			0.07 (-0.31 to 0.45)
mean_MLexc_mean * group_char		0.62	0.62		0.69	0.82		0.27	0.27		0.97	0.97		0.89	0.89		0.51	0.51		0.77	0.77
mean_MLexc_mean * H2000’s	1.8 (-1.8 to 5.3)			-0.09 (-4.0 to 3.8)			1.2 (-1.2 to 3.6)			12 (-74 to 98)			-1.2 (-6.7 to 4.3)			-0.49 (-1.4 to 0.44)			-0.31 (-1.4 to 0.82)
mean_MLexc_mean * H3000’s	1.0 (-2.5 to 4.6)			1.4 (-2.6 to 5.3)			-0.64 (-3.1 to 1.8)			7.1 (-78 to 92)			-1.2 (-6.7 to 4.3)			-0.08 (-1.0 to 0.86)			-0.42 (-1.6 to 0.73)
subj_char.sd__(Intercept)	0.93 (NA to NA)			0.93 (NA to NA)			1.1 (NA to NA)			3.6 (NA to NA)			0.98 (NA to NA)			0.25 (NA to NA)			0.61 (NA to NA)
Residual.sd__Observation	0.31 (NA to NA)			0.34 (NA to NA)			0.21 (NA to NA)			8.6 (NA to NA)			0.48 (NA to NA)			0.08 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1014, R2c: 0.9091

alpha_avg_power R2m: 0.0038, R2c: 0.8803

beta_avg_power R2m: 0.0708, R2c: 0.9688

theta_div_beta R2m: 0.0318, R2c: 0.1769

log_theta_div_beta R2m: 0.0387, R2c: 0.8123

aperiodic_exp R2m: 0.0599, R2c: 0.9104

aperiodic_offset R2m: 0.0355, R2c: 0.9753

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in log_theta_div_beta for Cluster: 6
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.5 (1.1 to 1.9)	<0.001	<0.001	0.61 (0.19 to 1.0)	0.004	0.018	1.1 (0.59 to 1.5)	<0.001	<0.001	7.5 (2.2 to 13)	0.006	0.022	0.54 (0.05 to 1.0)	0.030	0.12	1.2 (1.0 to 1.3)	<0.001	<0.001	-1.0 (-1.3 to -0.80)	<0.001	<0.001
mean_StepDur	-0.05 (-0.25 to 0.15)	0.63	0.63	0.17 (-0.05 to 0.38)	0.12	0.24	0.16 (0.03 to 0.29)	0.019	0.025	-3.4 (-8.6 to 1.9)	0.21	0.42	-0.03 (-0.34 to 0.27)	0.84	0.90	-0.05 (-0.11 to 0.00)	0.037	0.074	-0.07 (-0.14 to -0.01)	0.020	0.040
group_char		0.21	0.34		0.91	0.91		0.48	0.48		0.32	0.43		0.90	0.90		0.49	0.49		0.40	0.40
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.61 (-1.3 to 0.07)			-0.08 (-0.78 to 0.62)			0.36 (-0.39 to 1.1)			-5.2 (-15 to 4.6)			0.19 (-0.65 to 1.0)			-0.10 (-0.28 to 0.09)			-0.20 (-0.60 to 0.20)
H3000’s	-0.28 (-0.94 to 0.38)			-0.15 (-0.83 to 0.53)			0.39 (-0.32 to 1.1)			-6.4 (-16 to 2.9)			0.13 (-0.68 to 0.94)			0.02 (-0.16 to 0.20)			0.09 (-0.29 to 0.47)
mean_StepDur * group_char		0.26	0.34		0.89	0.91		0.004	0.008		0.84	0.84		0.41	0.82		0.29	0.39		0.30	0.39
mean_StepDur * H2000’s	-0.15 (-0.60 to 0.30)			0.02 (-0.46 to 0.50)			0.48 (0.19 to 0.78)			2.6 (-9.0 to 14)			0.42 (-0.27 to 1.1)			-0.08 (-0.20 to 0.03)			-0.07 (-0.21 to 0.07)
mean_StepDur * H3000’s	-0.40 (-0.89 to 0.09)			0.13 (-0.40 to 0.65)			0.24 (-0.09 to 0.56)			2.8 (-9.1 to 15)			0.31 (-0.44 to 1.1)			-0.06 (-0.19 to 0.06)			-0.11 (-0.26 to 0.05)
subj_char.sd__(Intercept)	0.93 (NA to NA)			0.93 (NA to NA)			1.1 (NA to NA)			3.6 (NA to NA)			1.0 (NA to NA)			0.25 (NA to NA)			0.61 (NA to NA)
Residual.sd__Observation	0.32 (NA to NA)			0.34 (NA to NA)			0.21 (NA to NA)			8.5 (NA to NA)			0.49 (NA to NA)			0.08 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.096, R2c: 0.9051

alpha_avg_power R2m: 0.005, R2c: 0.8832

beta_avg_power R2m: 0.0704, R2c: 0.9694

theta_div_beta R2m: 0.037, R2c: 0.1851

log_theta_div_beta R2m: 0.0384, R2c: 0.8157

aperiodic_exp R2m: 0.061, R2c: 0.9113

aperiodic_offset R2m: 0.0356, R2c: 0.9758

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_exp for Cluster: 6
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.5 (1.1 to 2.0)	<0.001	<0.001	0.71 (0.29 to 1.1)	<0.001	0.003	1.1 (0.59 to 1.5)	<0.001	<0.001	6.3 (1.5 to 11)	0.011	0.042	0.52 (0.04 to 0.99)	0.033	0.13	1.1 (1.0 to 1.2)	<0.001	<0.001	-1.1 (-1.3 to -0.82)	<0.001	<0.001
mean_UDexc_COV	-0.01 (-0.02 to 0.01)	0.24	0.31	0.00 (-0.01 to 0.02)	0.56	0.74	0.01 (0.00 to 0.02)	0.016	0.032	-0.16 (-0.51 to 0.20)	0.39	0.51	0.00 (-0.02 to 0.02)	0.98	0.98	0.00 (-0.01 to 0.00)	0.18	0.27	0.00 (-0.01 to 0.00)	0.075	0.15
group_char		0.082	0.16		0.85	0.85		0.17	0.22		0.29	0.51		0.43	0.87		0.20	0.27		0.25	0.25
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.71 (-1.4 to -0.06)			0.05 (-0.60 to 0.71)			0.67 (-0.07 to 1.4)			-4.8 (-12 to 2.6)			0.47 (-0.28 to 1.2)			-0.13 (-0.31 to 0.04)			-0.24 (-0.64 to 0.15)
H3000’s	-0.46 (-1.1 to 0.17)			-0.14 (-0.79 to 0.50)			0.47 (-0.23 to 1.2)			-5.5 (-13 to 2.3)			0.33 (-0.41 to 1.1)			0.02 (-0.15 to 0.19)			0.11 (-0.27 to 0.48)
mean_UDexc_COV * group_char		0.86	0.86		0.46	0.74		0.97	0.97		0.78	0.78		0.98	0.98		0.72	0.72		0.25	0.25
mean_UDexc_COV * H2000’s	0.00 (-0.02 to 0.02)			-0.01 (-0.03 to 0.01)			0.00 (-0.01 to 0.01)			0.16 (-0.33 to 0.66)			0.00 (-0.03 to 0.03)			0.00 (-0.01 to 0.00)			0.00 (-0.01 to 0.01)
mean_UDexc_COV * H3000’s	-0.01 (-0.03 to 0.02)			0.00 (-0.02 to 0.03)			0.00 (-0.01 to 0.02)			0.14 (-0.40 to 0.69)			0.00 (-0.03 to 0.03)			0.00 (-0.01 to 0.00)			-0.01 (-0.01 to 0.00)
subj_char.sd__(Intercept)	0.94 (NA to NA)			0.93 (NA to NA)			1.1 (NA to NA)			3.6 (NA to NA)			0.99 (NA to NA)			0.25 (NA to NA)			0.61 (NA to NA)
Residual.sd__Observation	0.32 (NA to NA)			0.34 (NA to NA)			0.22 (NA to NA)			8.6 (NA to NA)			0.49 (NA to NA)			0.08 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0941, R2c: 0.9075

alpha_avg_power R2m: 0.0034, R2c: 0.8808

beta_avg_power R2m: 0.0672, R2c: 0.9673

theta_div_beta R2m: 0.034, R2c: 0.1781

log_theta_div_beta R2m: 0.0364, R2c: 0.8124

aperiodic_exp R2m: 0.0576, R2c: 0.9102

aperiodic_offset R2m: 0.0355, R2c: 0.9758

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_offset for Cluster: 6
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.3 (0.90 to 1.7)	<0.001	<0.001	0.76 (0.33 to 1.2)	<0.001	0.002	1.3 (0.86 to 1.8)	<0.001	<0.001	2.8 (-2.6 to 8.1)	0.31	0.87	0.54 (0.05 to 1.0)	0.032	0.13	1.1 (0.94 to 1.2)	<0.001	<0.001	-1.2 (-1.4 to -0.93)	<0.001	<0.001
mean_UDexc_mean	5.2 (-2.9 to 13)	0.21	0.27	0.29 (-8.5 to 9.1)	0.95	0.95	-5.4 (-11 to 0.15)	0.057	0.10	70 (-140 to 280)	0.51	0.87	-0.90 (-13 to 12)	0.89	0.89	2.1 (-0.02 to 4.2)	0.053	0.11	2.9 (0.33 to 5.4)	0.027	0.053
group_char		0.034	0.069		0.84	0.95		0.071	0.10		0.81	0.87		0.22	0.44		0.21	0.28		0.46	0.57
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.82 (-1.5 to -0.16)			-0.20 (-0.87 to 0.47)			0.83 (0.09 to 1.6)			-2.5 (-11 to 5.6)			0.68 (-0.09 to 1.5)			-0.15 (-0.33 to 0.03)			-0.23 (-0.63 to 0.17)
H3000’s	-0.59 (-1.2 to 0.04)			-0.10 (-0.75 to 0.55)			0.54 (-0.16 to 1.3)			-2.0 (-9.9 to 6.0)			0.21 (-0.54 to 0.95)			-0.02 (-0.19 to 0.15)			0.00 (-0.38 to 0.38)
mean_UDexc_mean * group_char		0.80	0.80		0.73	0.95		0.42	0.42		0.87	0.87		0.46	0.61		0.99	0.99		0.57	0.57
mean_UDexc_mean * H2000’s	4.1 (-7.9 to 16)			4.7 (-8.4 to 18)			-5.4 (-14 to 2.8)			-10 (-319 to 299)			-7.2 (-26 to 11)			0.07 (-3.1 to 3.2)			-0.62 (-4.4 to 3.1)
mean_UDexc_mean * H3000’s	1.9 (-10 to 14)			-0.15 (-13 to 13)			-1.2 (-9.5 to 7.1)			-76 (-381 to 229)			5.0 (-13 to 24)			0.11 (-3.0 to 3.3)			1.5 (-2.3 to 5.3)
subj_char.sd__(Intercept)	0.94 (NA to NA)			0.93 (NA to NA)			1.1 (NA to NA)			3.5 (NA to NA)			0.98 (NA to NA)			0.25 (NA to NA)			0.61 (NA to NA)
Residual.sd__Observation	0.31 (NA to NA)			0.34 (NA to NA)			0.22 (NA to NA)			8.6 (NA to NA)			0.49 (NA to NA)			0.08 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.096, R2c: 0.9086

alpha_avg_power R2m: 0.003, R2c: 0.88

beta_avg_power R2m: 0.068, R2c: 0.9675

theta_div_beta R2m: 0.0339, R2c: 0.174

log_theta_div_beta R2m: 0.0385, R2c: 0.8111

aperiodic_exp R2m: 0.0583, R2c: 0.9105

aperiodic_offset R2m: 0.0354, R2c: 0.9758

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 6
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.5 (1.1 to 1.9)	<0.001	<0.001	0.64 (0.23 to 1.0)	0.002	0.008	1.1 (0.63 to 1.5)	<0.001	<0.001	7.1 (2.6 to 12)	0.002	0.008	0.53 (0.07 to 1.0)	0.024	0.095	1.1 (1.0 to 1.3)	<0.001	<0.001	-1.1 (-1.3 to -0.81)	<0.001	<0.001
mean_StanceDur	-0.03 (-0.15 to 0.09)	0.65	0.65	0.10 (-0.03 to 0.23)	0.12	0.23	0.09 (0.01 to 0.17)	0.022	0.030	-2.1 (-5.3 to 1.0)	0.18	0.32	-0.02 (-0.20 to 0.17)	0.87	0.87	-0.03 (-0.06 to 0.00)	0.034	0.068	-0.04 (-0.08 to -0.01)	0.021	0.041
group_char		0.14	0.28		0.91	0.91		0.37	0.37		0.24	0.32		0.76	0.87		0.43	0.43		0.40	0.40
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.65 (-1.3 to 0.00)			-0.06 (-0.72 to 0.61)			0.45 (-0.29 to 1.2)			-4.9 (-13 to 3.3)			0.28 (-0.50 to 1.1)			-0.11 (-0.28 to 0.07)			-0.21 (-0.61 to 0.19)
H3000’s	-0.34 (-0.97 to 0.29)			-0.14 (-0.78 to 0.50)			0.42 (-0.28 to 1.1)			-6.1 (-14 to 1.7)			0.17 (-0.58 to 0.92)			0.00 (-0.17 to 0.17)			0.07 (-0.30 to 0.45)
mean_StanceDur * group_char		0.29	0.39		0.87	0.91		0.009	0.018		0.83	0.83		0.47	0.87		0.34	0.43		0.34	0.40
mean_StanceDur * H2000’s	-0.07 (-0.34 to 0.19)			-0.01 (-0.29 to 0.27)			0.26 (0.09 to 0.44)			1.6 (-5.3 to 8.6)			0.22 (-0.19 to 0.62)			-0.05 (-0.12 to 0.02)			-0.04 (-0.12 to 0.04)
mean_StanceDur * H3000’s	-0.23 (-0.51 to 0.06)			0.08 (-0.23 to 0.38)			0.13 (-0.06 to 0.32)			1.8 (-5.4 to 8.9)			0.18 (-0.25 to 0.62)			-0.03 (-0.10 to 0.05)			-0.06 (-0.14 to 0.03)
subj_char.sd__(Intercept)	0.93 (NA to NA)			0.93 (NA to NA)			1.1 (NA to NA)			3.6 (NA to NA)			1.0 (NA to NA)			0.25 (NA to NA)			0.61 (NA to NA)
Residual.sd__Observation	0.32 (NA to NA)			0.34 (NA to NA)			0.21 (NA to NA)			8.5 (NA to NA)			0.49 (NA to NA)			0.08 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0953, R2c: 0.9052

alpha_avg_power R2m: 0.0049, R2c: 0.8829

beta_avg_power R2m: 0.0697, R2c: 0.9688

theta_div_beta R2m: 0.0378, R2c: 0.1846

log_theta_div_beta R2m: 0.038, R2c: 0.8161

aperiodic_exp R2m: 0.0601, R2c: 0.9115

aperiodic_offset R2m: 0.0354, R2c: 0.9758

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 6
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.5 (1.1 to 1.9)	<0.001	<0.001	0.61 (0.19 to 1.0)	0.004	0.018	1.1 (0.59 to 1.5)	<0.001	<0.001	7.5 (2.2 to 13)	0.006	0.022	0.54 (0.05 to 1.0)	0.030	0.12	1.2 (1.0 to 1.3)	<0.001	<0.001	-1.0 (-1.3 to -0.80)	<0.001	<0.001
mean_GaitCycleDur	-0.02 (-0.12 to 0.08)	0.64	0.64	0.08 (-0.02 to 0.19)	0.12	0.24	0.08 (0.01 to 0.14)	0.019	0.025	-1.7 (-4.3 to 0.96)	0.21	0.43	-0.02 (-0.17 to 0.14)	0.84	0.89	-0.03 (-0.05 to 0.00)	0.037	0.073	-0.04 (-0.07 to -0.01)	0.020	0.040
group_char		0.21	0.34		0.91	0.91		0.48	0.48		0.32	0.43		0.89	0.89		0.49	0.49		0.40	0.40
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.62 (-1.3 to 0.07)			-0.08 (-0.78 to 0.62)			0.36 (-0.39 to 1.1)			-5.2 (-15 to 4.5)			0.19 (-0.65 to 1.0)			-0.10 (-0.28 to 0.09)			-0.20 (-0.60 to 0.20)
H3000’s	-0.28 (-0.94 to 0.38)			-0.15 (-0.83 to 0.53)			0.39 (-0.32 to 1.1)			-6.4 (-16 to 2.9)			0.13 (-0.68 to 0.95)			0.02 (-0.16 to 0.19)			0.09 (-0.29 to 0.47)
mean_GaitCycleDur * group_char		0.26	0.34		0.89	0.91		0.004	0.009		0.84	0.84		0.42	0.84		0.29	0.39		0.30	0.40
mean_GaitCycleDur * H2000’s	-0.07 (-0.30 to 0.15)			0.01 (-0.23 to 0.25)			0.24 (0.09 to 0.39)			1.3 (-4.5 to 7.1)			0.21 (-0.14 to 0.55)			-0.04 (-0.10 to 0.02)			-0.03 (-0.10 to 0.03)
mean_GaitCycleDur * H3000’s	-0.20 (-0.45 to 0.04)			0.06 (-0.20 to 0.33)			0.12 (-0.05 to 0.28)			1.4 (-4.6 to 7.4)			0.15 (-0.22 to 0.52)			-0.03 (-0.09 to 0.03)			-0.05 (-0.13 to 0.02)
subj_char.sd__(Intercept)	0.93 (NA to NA)			0.93 (NA to NA)			1.1 (NA to NA)			3.6 (NA to NA)			1.0 (NA to NA)			0.25 (NA to NA)			0.61 (NA to NA)
Residual.sd__Observation	0.32 (NA to NA)			0.34 (NA to NA)			0.21 (NA to NA)			8.5 (NA to NA)			0.49 (NA to NA)			0.08 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.096, R2c: 0.9051

alpha_avg_power R2m: 0.0051, R2c: 0.8832

beta_avg_power R2m: 0.0704, R2c: 0.9693

theta_div_beta R2m: 0.0369, R2c: 0.185

log_theta_div_beta R2m: 0.0384, R2c: 0.8156

aperiodic_exp R2m: 0.061, R2c: 0.9113

aperiodic_offset R2m: 0.0356, R2c: 0.9758

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 6
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.4 (0.98 to 1.8)	<0.001	<0.001	0.81 (0.41 to 1.2)	<0.001	<0.001	1.3 (0.84 to 1.7)	<0.001	<0.001	2.8 (-1.5 to 7.2)	0.20	0.81	0.52 (0.07 to 0.97)	0.024	0.10	1.1 (0.96 to 1.2)	<0.001	<0.001	-1.2 (-1.4 to -0.91)	<0.001	<0.001
mean_PeakUpDownVel_mean	0.27 (-0.34 to 0.88)	0.39	0.52	-0.20 (-0.86 to 0.46)	0.56	0.81	-0.43 (-0.84 to -0.01)	0.042	0.085	6.8 (-9.4 to 23)	0.41	0.82	-0.03 (-0.96 to 0.90)	0.95	0.95	0.15 (-0.01 to 0.31)	0.069	0.14	0.21 (0.02 to 0.40)	0.032	0.065
group_char		0.023	0.046		0.81	0.81		0.065	0.086		0.76	0.85		0.21	0.41		0.18	0.24		0.42	0.56
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.82 (-1.5 to -0.18)			-0.20 (-0.84 to 0.44)			0.84 (0.11 to 1.6)			-2.1 (-8.9 to 4.7)			0.65 (-0.07 to 1.4)			-0.16 (-0.33 to 0.01)			-0.24 (-0.63 to 0.15)
H3000’s	-0.63 (-1.2 to -0.02)			-0.15 (-0.77 to 0.46)			0.53 (-0.17 to 1.2)			-2.2 (-8.9 to 4.4)			0.30 (-0.39 to 1.0)			-0.03 (-0.19 to 0.14)			0.00 (-0.37 to 0.37)
mean_PeakUpDownVel_mean * group_char		0.72	0.72		0.67	0.81		0.20	0.20		0.85	0.85		0.61	0.82		0.97	0.97		0.64	0.64
mean_PeakUpDownVel_mean * H2000’s	0.35 (-0.55 to 1.2)			0.44 (-0.53 to 1.4)			-0.49 (-1.1 to 0.12)			-3.2 (-27 to 20)			-0.55 (-1.9 to 0.82)			0.02 (-0.22 to 0.25)			-0.04 (-0.32 to 0.24)
mean_PeakUpDownVel_mean * H3000’s	0.27 (-0.61 to 1.1)			0.20 (-0.75 to 1.2)			0.00 (-0.60 to 0.59)			-6.7 (-29 to 16)			0.10 (-1.2 to 1.4)			0.03 (-0.20 to 0.25)			0.10 (-0.18 to 0.37)
subj_char.sd__(Intercept)	0.93 (NA to NA)			0.93 (NA to NA)			1.1 (NA to NA)			3.5 (NA to NA)			0.99 (NA to NA)			0.25 (NA to NA)			0.61 (NA to NA)
Residual.sd__Observation	0.32 (NA to NA)			0.34 (NA to NA)			0.21 (NA to NA)			8.6 (NA to NA)			0.49 (NA to NA)			0.08 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0958, R2c: 0.9069

alpha_avg_power R2m: 0.0028, R2c: 0.88

beta_avg_power R2m: 0.0686, R2c: 0.9679

theta_div_beta R2m: 0.0343, R2c: 0.1752

log_theta_div_beta R2m: 0.0377, R2c: 0.8124

aperiodic_exp R2m: 0.0585, R2c: 0.9102

aperiodic_offset R2m: 0.0354, R2c: 0.9757

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_avg_power for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.42 (0.07 to 0.76)	0.018	0.071	2.4 (1.2 to 3.7)	<0.001	<0.001	2.3 (1.6 to 3.1)	<0.001	<0.001	1.0 (-1.3 to 3.3)	0.38	0.89	2.2 (0.97 to 3.5)	<0.001	0.002	1.0 (0.95 to 1.1)	<0.001	<0.001	-1.3 (-1.5 to -1.1)	<0.001	<0.001
mean_APexc_COV	0.00 (-0.01 to 0.02)	0.73	0.97	0.01 (-0.04 to 0.05)	0.79	0.79	0.01 (-0.02 to 0.03)	0.69	0.77	-0.04 (-0.18 to 0.10)	0.58	0.89	-0.02 (-0.09 to 0.05)	0.59	0.59	0.00 (0.00 to 0.00)	0.94	0.94	0.00 (-0.01 to 0.00)	0.69	0.82
group_char		0.19	0.39		0.68	0.79		0.29	0.58		0.85	0.89		0.13	0.19		0.45	0.90		0.82	0.82
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.51 (-1.2 to 0.15)			-0.81 (-3.1 to 1.4)			0.67 (-0.72 to 2.1)			-1.1 (-5.2 to 2.9)			1.7 (-0.68 to 4.2)			-0.08 (-0.25 to 0.10)			-0.08 (-0.42 to 0.26)
H3000’s	-0.37 (-0.86 to 0.12)			-0.67 (-2.4 to 1.1)			0.87 (-0.25 to 2.0)			-0.62 (-3.7 to 2.5)			-0.75 (-2.5 to 0.99)			-0.08 (-0.21 to 0.05)			0.03 (-0.25 to 0.31)
mean_APexc_COV * group_char		0.99	0.99		0.67	0.79		0.77	0.77		0.89	0.89		0.14	0.19		0.76	0.94		0.76	0.82
mean_APexc_COV * H2000’s	0.00 (-0.02 to 0.03)			0.02 (-0.06 to 0.09)			0.00 (-0.04 to 0.04)			0.05 (-0.15 to 0.25)			-0.04 (-0.15 to 0.07)			0.00 (-0.01 to 0.00)			0.00 (-0.01 to 0.01)
mean_APexc_COV * H3000’s	0.00 (-0.02 to 0.02)			0.02 (-0.03 to 0.08)			0.01 (-0.02 to 0.04)			0.03 (-0.13 to 0.19)			0.05 (-0.03 to 0.13)			0.00 (-0.01 to 0.00)			0.00 (-0.01 to 0.01)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.7 (NA to NA)			1.2 (NA to NA)			1.3 (NA to NA)			0.16 (NA to NA)			0.46 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.70 (NA to NA)			0.40 (NA to NA)			2.5 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.08 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0707, R2c: 0.8846

alpha_avg_power R2m: 0.0074, R2c: 0.9344

beta_avg_power R2m: 0.0768, R2c: 0.9532

theta_div_beta R2m: 0.0041, R2c: 0.1988

log_theta_div_beta R2m: 0.0385, R2c: 0.5795

aperiodic_exp R2m: 0.101, R2c: 0.8496

aperiodic_offset R2m: 0.0217, R2c: 0.9689

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in alpha_avg_power for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.60 (0.30 to 0.91)	<0.001	<0.001	2.2 (1.0 to 3.3)	<0.001	<0.001	2.0 (1.3 to 2.8)	<0.001	<0.001	1.6 (-0.26 to 3.5)	0.091	0.34	1.6 (0.60 to 2.7)	0.002	0.008	1.1 (1.0 to 1.2)	<0.001	<0.001	-1.2 (-1.4 to -1.0)	<0.001	<0.001
mean_APexc_mean	-2.6 (-5.8 to 0.61)	0.11	0.15	6.1 (-3.5 to 16)	0.21	0.43	7.4 (2.0 to 13)	0.007	0.015	-22 (-54 to 9.6)	0.17	0.34	5.1 (-11 to 21)	0.53	0.89	-0.78 (-1.7 to 0.17)	0.11	0.14	-1.4 (-2.5 to -0.27)	0.015	0.031
group_char		0.15	0.15		0.83	0.83		0.066	0.088		0.47	0.63		0.75	0.89		0.11	0.14		0.40	0.53
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.27 (-0.75 to 0.22)			-0.55 (-2.4 to 1.3)			0.73 (-0.46 to 1.9)			-1.3 (-4.1 to 1.4)			0.54 (-1.0 to 2.1)			-0.13 (-0.26 to 0.00)			-0.17 (-0.47 to 0.13)
H3000’s	-0.43 (-0.86 to 0.00)			-0.30 (-1.9 to 1.3)			1.2 (0.19 to 2.3)			-1.5 (-3.9 to 1.0)			0.47 (-0.96 to 1.9)			-0.09 (-0.20 to 0.03)			0.03 (-0.24 to 0.29)
mean_APexc_mean * group_char		0.13	0.15		0.53	0.70		0.99	0.99		0.63	0.63		0.89	0.89		0.79	0.79		0.80	0.80
mean_APexc_mean * H2000’s	-4.2 (-9.6 to 1.1)			3.5 (-12 to 20)			0.77 (-8.2 to 9.8)			18 (-34 to 70)			5.0 (-21 to 31)			-0.28 (-1.9 to 1.3)			0.47 (-1.4 to 2.4)
mean_APexc_mean * H3000’s	1.6 (-3.6 to 6.8)			8.9 (-6.5 to 24)			0.31 (-8.3 to 9.0)			22 (-26 to 70)			-1.7 (-27 to 23)			-0.53 (-2.1 to 0.99)			-0.21 (-2.0 to 1.6)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)			1.4 (NA to NA)			0.15 (NA to NA)			0.46 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.39 (NA to NA)			2.5 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.08 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0771, R2c: 0.8912

alpha_avg_power R2m: 0.0083, R2c: 0.9364

beta_avg_power R2m: 0.0784, R2c: 0.957

theta_div_beta R2m: 0.0091, R2c: 0.2007

log_theta_div_beta R2m: 0.0277, R2c: 0.59

aperiodic_exp R2m: 0.1099, R2c: 0.8523

aperiodic_offset R2m: 0.0236, R2c: 0.9702

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in beta_avg_power for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.21 (-0.11 to 0.53)	0.20	0.27	2.4 (1.2 to 3.6)	<0.001	<0.001	2.6 (1.8 to 3.3)	<0.001	<0.001	0.66 (-1.2 to 2.5)	0.49	0.88	1.8 (0.65 to 2.9)	0.002	0.008	1.1 (0.98 to 1.2)	<0.001	<0.001	-1.3 (-1.5 to -1.1)	<0.001	<0.001
mean_MLexc_COV	0.02 (0.00 to 0.03)	0.017	0.069	0.01 (-0.04 to 0.06)	0.70	0.91	-0.01 (-0.04 to 0.02)	0.51	0.51	-0.02 (-0.15 to 0.11)	0.76	0.88	0.01 (-0.06 to 0.08)	0.79	0.79	0.00 (-0.01 to 0.00)	0.59	0.79	0.00 (-0.01 to 0.01)	0.93	0.93
group_char		0.090	0.18		0.91	0.91		0.057	0.11		0.78	0.88		0.045	0.090		0.048	0.10		0.76	0.93
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.55 (-1.0 to -0.05)			0.21 (-1.7 to 2.1)			1.1 (-0.06 to 2.3)			-0.98 (-3.7 to 1.8)			2.1 (0.44 to 3.7)			-0.15 (-0.28 to -0.02)			-0.09 (-0.40 to 0.21)
H3000’s	-0.30 (-0.75 to 0.15)			-0.19 (-1.9 to 1.5)			1.2 (0.12 to 2.3)			-0.59 (-3.2 to 2.0)			0.87 (-0.67 to 2.4)			-0.13 (-0.25 to 0.00)			0.02 (-0.26 to 0.29)
mean_MLexc_COV * group_char		0.64	0.64		0.13	0.27		0.17	0.22		0.88	0.88		0.16	0.21		0.81	0.81		0.42	0.84
mean_MLexc_COV * H2000’s	0.01 (-0.01 to 0.03)			-0.05 (-0.11 to 0.02)			-0.03 (-0.07 to 0.01)			0.05 (-0.13 to 0.23)			-0.10 (-0.19 to 0.00)			0.00 (-0.01 to 0.01)			0.00 (-0.01 to 0.00)
mean_MLexc_COV * H3000’s	0.00 (-0.02 to 0.02)			0.01 (-0.05 to 0.07)			0.00 (-0.04 to 0.03)			0.02 (-0.15 to 0.20)			-0.04 (-0.13 to 0.06)			0.00 (0.00 to 0.01)			0.00 (-0.01 to 0.01)
subj_char.sd__(Intercept)	0.63 (NA to NA)			2.6 (NA to NA)			1.7 (NA to NA)			1.2 (NA to NA)			1.3 (NA to NA)			0.16 (NA to NA)			0.46 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.70 (NA to NA)			0.39 (NA to NA)			2.5 (NA to NA)			1.1 (NA to NA)			0.07 (NA to NA)			0.08 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0878, R2c: 0.8959

alpha_avg_power R2m: 0.0064, R2c: 0.9337

beta_avg_power R2m: 0.079, R2c: 0.9549

theta_div_beta R2m: 0.0037, R2c: 0.1895

log_theta_div_beta R2m: 0.0425, R2c: 0.5958

aperiodic_exp R2m: 0.1014, R2c: 0.8462

aperiodic_offset R2m: 0.0219, R2c: 0.9687

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_div_beta for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.62 (0.32 to 0.92)	<0.001	<0.001	2.3 (1.2 to 3.5)	<0.001	<0.001	2.1 (1.4 to 2.8)	<0.001	<0.001	1.3 (-0.39 to 3.0)	0.13	0.51	1.8 (0.87 to 2.8)	<0.001	<0.001	1.1 (1.0 to 1.2)	<0.001	<0.001	-1.2 (-1.4 to -1.0)	<0.001	<0.001
mean_MLexc_mean	-1.9 (-3.8 to 0.00)	0.050	0.10	2.4 (-3.4 to 8.1)	0.42	0.59	4.0 (0.81 to 7.1)	0.014	0.027	-11 (-30 to 7.8)	0.25	0.51	0.82 (-8.6 to 10)	0.87	0.88	-0.49 (-1.1 to 0.09)	0.10	0.13	-0.92 (-1.6 to -0.25)	0.007	0.014
group_char		0.22	0.29		0.67	0.67		0.15	0.20		0.58	0.69		0.88	0.88		0.052	0.10		0.21	0.21
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.31 (-0.78 to 0.15)			-0.81 (-2.6 to 0.98)			0.59 (-0.57 to 1.7)			-1.0 (-3.4 to 1.4)			0.34 (-1.1 to 1.8)			-0.15 (-0.27 to -0.03)			-0.21 (-0.51 to 0.09)
H3000’s	-0.34 (-0.76 to 0.07)			-0.42 (-2.0 to 1.2)			1.0 (-0.01 to 2.0)			-1.1 (-3.3 to 1.1)			0.28 (-1.0 to 1.6)			-0.08 (-0.19 to 0.03)			0.05 (-0.21 to 0.31)
mean_MLexc_mean * group_char		0.41	0.41		0.44	0.59		0.74	0.74		0.69	0.69		0.75	0.88		0.59	0.59		0.045	0.060
mean_MLexc_mean * H2000’s	-1.3 (-3.8 to 1.3)			3.8 (-3.8 to 11)			0.95 (-3.2 to 5.1)			8.6 (-16 to 33)			4.3 (-8.3 to 17)			0.16 (-0.61 to 0.92)			0.86 (-0.04 to 1.7)
mean_MLexc_mean * H3000’s	0.25 (-2.3 to 2.8)			4.8 (-2.8 to 12)			1.7 (-2.5 to 5.8)			10 (-14 to 35)			0.58 (-12 to 13)			-0.21 (-0.97 to 0.55)			-0.13 (-1.0 to 0.76)
subj_char.sd__(Intercept)	0.65 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)			1.4 (NA to NA)			0.16 (NA to NA)			0.46 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)			2.5 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.08 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0809, R2c: 0.898

alpha_avg_power R2m: 0.01, R2c: 0.9373

beta_avg_power R2m: 0.0822, R2c: 0.9603

theta_div_beta R2m: 0.0076, R2c: 0.1999

log_theta_div_beta R2m: 0.0281, R2c: 0.5905

aperiodic_exp R2m: 0.1107, R2c: 0.8556

aperiodic_offset R2m: 0.025, R2c: 0.9712

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in log_theta_div_beta for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.62 (0.34 to 0.90)	<0.001	<0.001	2.2 (1.1 to 3.3)	<0.001	<0.001	2.1 (1.4 to 2.8)	<0.001	<0.001	1.2 (-0.27 to 2.8)	0.11	0.43	1.7 (0.80 to 2.5)	<0.001	<0.001	1.1 (1.0 to 1.2)	<0.001	<0.001	-1.2 (-1.4 to -1.1)	<0.001	<0.001
mean_StepDur	-0.17 (-0.32 to -0.03)	0.017	0.034	0.36 (-0.06 to 0.79)	0.10	0.19	0.38 (0.14 to 0.61)	0.002	0.004	-0.94 (-2.4 to 0.56)	0.22	0.44	0.27 (-0.44 to 0.99)	0.45	0.85	-0.04 (-0.08 to 0.01)	0.10	0.10	-0.06 (-0.11 to -0.01)	0.020	0.030
group_char		0.26	0.26		0.66	0.66		0.15	0.20		0.66	0.83		0.85	0.85		0.10	0.10		0.17	0.17
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.25 (-0.72 to 0.22)			-0.84 (-2.6 to 0.97)			0.47 (-0.70 to 1.6)			-0.88 (-3.6 to 1.9)			0.41 (-1.1 to 1.9)			-0.13 (-0.25 to -0.01)			-0.17 (-0.47 to 0.13)
H3000’s	-0.34 (-0.76 to 0.08)			-0.39 (-2.0 to 1.2)			1.0 (-0.01 to 2.1)			-1.1 (-3.6 to 1.4)			0.28 (-1.1 to 1.7)			-0.04 (-0.15 to 0.08)			0.12 (-0.14 to 0.38)
mean_StepDur * group_char		0.19	0.26		0.24	0.33		0.27	0.27		0.83	0.83		0.83	0.85		0.10	0.10		0.023	0.030
mean_StepDur * H2000’s	-0.27 (-0.57 to 0.02)			0.56 (-0.32 to 1.5)			0.36 (-0.13 to 0.86)			0.56 (-2.5 to 3.7)			0.46 (-1.0 to 2.0)			-0.01 (-0.10 to 0.08)			0.03 (-0.07 to 0.13)
mean_StepDur * H3000’s	-0.03 (-0.34 to 0.28)			0.65 (-0.28 to 1.6)			0.28 (-0.24 to 0.80)			0.90 (-2.2 to 4.0)			0.16 (-1.4 to 1.7)			-0.10 (-0.19 to -0.01)			-0.14 (-0.25 to -0.03)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)			1.4 (NA to NA)			0.15 (NA to NA)			0.46 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.68 (NA to NA)			0.38 (NA to NA)			2.5 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.08 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0786, R2c: 0.8942

alpha_avg_power R2m: 0.0084, R2c: 0.9377

beta_avg_power R2m: 0.0786, R2c: 0.9581

theta_div_beta R2m: 0.0076, R2c: 0.1901

log_theta_div_beta R2m: 0.0285, R2c: 0.5892

aperiodic_exp R2m: 0.1118, R2c: 0.8512

aperiodic_offset R2m: 0.0247, R2c: 0.9713

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_exp for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.58 (0.30 to 0.85)	<0.001	<0.001	2.4 (1.3 to 3.5)	<0.001	<0.001	2.2 (1.5 to 2.9)	<0.001	<0.001	1.2 (-0.09 to 2.6)	0.067	0.27	1.8 (1.0 to 2.6)	<0.001	<0.001	1.1 (1.0 to 1.1)	<0.001	<0.001	-1.2 (-1.4 to -1.1)	<0.001	<0.001
mean_UDexc_COV	-0.01 (-0.02 to 0.00)	0.056	0.11	0.01 (-0.02 to 0.04)	0.59	0.71	0.02 (0.00 to 0.03)	0.033	0.066	-0.07 (-0.16 to 0.02)	0.15	0.30	0.01 (-0.04 to 0.05)	0.76	0.98	0.00 (0.00 to 0.00)	0.10	0.14	0.00 (-0.01 to 0.00)	0.003	0.007
group_char		0.13	0.17		0.71	0.71		0.23	0.29		0.48	0.57		0.57	0.98		0.095	0.14		0.26	0.26
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.39 (-0.83 to 0.05)			-0.70 (-2.5 to 1.0)			0.61 (-0.54 to 1.7)			-1.1 (-3.1 to 1.0)			0.69 (-0.59 to 2.0)			-0.13 (-0.24 to -0.01)			-0.16 (-0.46 to 0.13)
H3000’s	-0.35 (-0.76 to 0.05)			-0.44 (-2.0 to 1.1)			0.88 (-0.14 to 1.9)			-1.1 (-3.2 to 0.97)			0.36 (-0.87 to 1.6)			-0.06 (-0.16 to 0.05)			0.08 (-0.18 to 0.34)
mean_UDexc_COV * group_char		0.69	0.69		0.35	0.71		0.29	0.29		0.57	0.57		0.98	0.98		0.39	0.39		0.13	0.17
mean_UDexc_COV * H2000’s	0.00 (-0.02 to 0.01)			0.02 (-0.02 to 0.06)			0.01 (-0.02 to 0.03)			0.06 (-0.08 to 0.20)			0.00 (-0.07 to 0.07)			0.00 (0.00 to 0.00)			0.00 (0.00 to 0.01)
mean_UDexc_COV * H3000’s	0.00 (-0.01 to 0.02)			0.03 (-0.01 to 0.07)			0.02 (0.00 to 0.04)			0.07 (-0.07 to 0.21)			0.00 (-0.07 to 0.07)			0.00 (-0.01 to 0.00)			0.00 (-0.01 to 0.00)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.7 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)			1.4 (NA to NA)			0.16 (NA to NA)			0.46 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.38 (NA to NA)			2.5 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.08 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0748, R2c: 0.8916

alpha_avg_power R2m: 0.0073, R2c: 0.9369

beta_avg_power R2m: 0.0794, R2c: 0.9595

theta_div_beta R2m: 0.0097, R2c: 0.1898

log_theta_div_beta R2m: 0.0253, R2c: 0.5866

aperiodic_exp R2m: 0.1095, R2c: 0.8635

aperiodic_offset R2m: 0.0251, R2c: 0.9726

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_offset for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.30 (0.02 to 0.58)	0.039	0.077	2.6 (1.5 to 3.7)	<0.001	<0.001	2.7 (2.0 to 3.4)	<0.001	<0.001	-0.48 (-2.0 to 1.0)	0.53	0.84	2.3 (1.4 to 3.1)	<0.001	<0.001	1.0 (0.95 to 1.1)	<0.001	<0.001	-1.3 (-1.5 to -1.2)	<0.001	<0.001
mean_UDexc_mean	6.7 (1.2 to 12)	0.016	0.066	-1.7 (-18 to 15)	0.84	0.84	-11 (-20 to -2.2)	0.014	0.023	36 (-20 to 93)	0.21	0.83	-15 (-42 to 13)	0.30	0.60	0.98 (-0.66 to 2.6)	0.24	0.32	2.1 (0.14 to 4.0)	0.035	0.071
group_char		0.069	0.092		0.83	0.84		0.017	0.023		0.84	0.84		0.65	0.86		0.016	0.031		0.70	0.70
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.53 (-0.99 to -0.07)			0.03 (-1.7 to 1.8)			0.92 (-0.24 to 2.1)			0.34 (-2.0 to 2.7)			0.66 (-0.73 to 2.0)			-0.14 (-0.26 to -0.02)			-0.12 (-0.41 to 0.18)
H3000’s	-0.30 (-0.70 to 0.11)			0.45 (-1.1 to 2.0)			1.5 (0.45 to 2.5)			0.65 (-1.5 to 2.8)			0.22 (-1.0 to 1.5)			-0.14 (-0.24 to -0.03)			-0.01 (-0.27 to 0.25)
mean_UDexc_mean * group_char		0.53	0.53		0.21	0.42		0.13	0.13		0.63	0.84		0.97	0.97		0.43	0.43		0.22	0.29
mean_UDexc_mean * H2000’s	3.6 (-5.1 to 12)			-20 (-46 to 6.6)			-8.9 (-23 to 4.9)			-28 (-116 to 60)			3.3 (-40 to 46)			0.20 (-2.4 to 2.8)			-0.90 (-3.9 to 2.1)
mean_UDexc_mean * H3000’s	-1.4 (-9.3 to 6.6)			-19 (-43 to 5.3)			-13 (-25 to 0.03)			-38 (-117 to 42)			4.8 (-35 to 44)			1.5 (-0.90 to 3.9)			1.7 (-1.0 to 4.5)
subj_char.sd__(Intercept)	0.65 (NA to NA)			2.7 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)			1.4 (NA to NA)			0.16 (NA to NA)			0.46 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.36 (NA to NA)			2.5 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.08 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0775, R2c: 0.8968

alpha_avg_power R2m: 0.0076, R2c: 0.9368

beta_avg_power R2m: 0.082, R2c: 0.9625

theta_div_beta R2m: 0.008, R2c: 0.1975

log_theta_div_beta R2m: 0.0284, R2c: 0.5909

aperiodic_exp R2m: 0.1074, R2c: 0.8564

aperiodic_offset R2m: 0.024, R2c: 0.9715

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.59 (0.32 to 0.86)	<0.001	<0.001	2.3 (1.2 to 3.3)	<0.001	<0.001	2.2 (1.5 to 2.9)	<0.001	<0.001	1.1 (-0.16 to 2.4)	0.087	0.35	1.7 (0.93 to 2.5)	<0.001	<0.001	1.1 (1.0 to 1.1)	<0.001	<0.001	-1.3 (-1.4 to -1.1)	<0.001	<0.001
mean_StanceDur	-0.10 (-0.19 to -0.02)	0.018	0.037	0.21 (-0.04 to 0.47)	0.094	0.19	0.22 (0.08 to 0.36)	0.002	0.004	-0.59 (-1.5 to 0.30)	0.19	0.39	0.17 (-0.26 to 0.59)	0.44	0.89	-0.02 (-0.05 to 0.00)	0.10	0.13	-0.04 (-0.07 to -0.01)	0.016	0.032
group_char		0.20	0.24		0.68	0.68		0.13	0.17		0.63	0.83		0.69	0.92		0.063	0.13		0.22	0.22
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.30 (-0.75 to 0.15)			-0.78 (-2.5 to 0.98)			0.51 (-0.63 to 1.7)			-0.83 (-3.1 to 1.5)			0.58 (-0.76 to 1.9)			-0.14 (-0.25 to -0.02)			-0.17 (-0.46 to 0.12)
H3000’s	-0.34 (-0.74 to 0.06)			-0.34 (-1.9 to 1.2)			1.1 (0.04 to 2.1)			-0.93 (-3.0 to 1.2)			0.29 (-0.94 to 1.5)			-0.05 (-0.16 to 0.05)			0.10 (-0.16 to 0.36)
mean_StanceDur * group_char		0.24	0.24		0.19	0.25		0.24	0.24		0.83	0.83		0.92	0.92		0.16	0.16		0.036	0.048
mean_StanceDur * H2000’s	-0.15 (-0.33 to 0.03)			0.36 (-0.17 to 0.88)			0.22 (-0.07 to 0.51)			0.38 (-1.5 to 2.2)			0.18 (-0.70 to 1.1)			0.00 (-0.06 to 0.05)			0.02 (-0.04 to 0.08)
mean_StanceDur * H3000’s	-0.02 (-0.20 to 0.16)			0.42 (-0.13 to 0.96)			0.18 (-0.13 to 0.48)			0.53 (-1.3 to 2.4)			0.10 (-0.81 to 1.0)			-0.05 (-0.11 to 0.00)			-0.07 (-0.14 to -0.01)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)			1.4 (NA to NA)			0.15 (NA to NA)			0.46 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.68 (NA to NA)			0.38 (NA to NA)			2.5 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.08 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0777, R2c: 0.8939

alpha_avg_power R2m: 0.0086, R2c: 0.9379

beta_avg_power R2m: 0.0786, R2c: 0.9582

theta_div_beta R2m: 0.0081, R2c: 0.189

log_theta_div_beta R2m: 0.0277, R2c: 0.5892

aperiodic_exp R2m: 0.1099, R2c: 0.8507

aperiodic_offset R2m: 0.0243, R2c: 0.9712

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.62 (0.34 to 0.90)	<0.001	<0.001	2.2 (1.1 to 3.3)	<0.001	<0.001	2.1 (1.4 to 2.8)	<0.001	<0.001	1.2 (-0.27 to 2.7)	0.11	0.43	1.7 (0.80 to 2.5)	<0.001	<0.001	1.1 (1.0 to 1.2)	<0.001	<0.001	-1.2 (-1.4 to -1.1)	<0.001	<0.001
mean_GaitCycleDur	-0.09 (-0.16 to -0.02)	0.017	0.034	0.18 (-0.03 to 0.39)	0.094	0.19	0.19 (0.07 to 0.31)	0.002	0.004	-0.47 (-1.2 to 0.28)	0.22	0.44	0.14 (-0.22 to 0.49)	0.45	0.85	-0.02 (-0.04 to 0.00)	0.10	0.11	-0.03 (-0.05 to 0.00)	0.020	0.031
group_char		0.27	0.27		0.66	0.66		0.15	0.20		0.66	0.83		0.85	0.85		0.10	0.11		0.17	0.17
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.25 (-0.72 to 0.22)			-0.83 (-2.6 to 0.98)			0.47 (-0.70 to 1.6)			-0.87 (-3.6 to 1.9)			0.41 (-1.1 to 1.9)			-0.13 (-0.25 to -0.01)			-0.17 (-0.47 to 0.13)
H3000’s	-0.34 (-0.76 to 0.09)			-0.38 (-2.0 to 1.2)			1.0 (-0.01 to 2.1)			-1.1 (-3.6 to 1.4)			0.27 (-1.1 to 1.7)			-0.04 (-0.15 to 0.07)			0.12 (-0.14 to 0.38)
mean_GaitCycleDur * group_char		0.19	0.26		0.25	0.33		0.27	0.27		0.83	0.83		0.83	0.85		0.11	0.11		0.023	0.031
mean_GaitCycleDur * H2000’s	-0.14 (-0.28 to 0.01)			0.28 (-0.17 to 0.72)			0.18 (-0.07 to 0.43)			0.28 (-1.3 to 1.8)			0.23 (-0.51 to 0.97)			0.00 (-0.05 to 0.04)			0.02 (-0.04 to 0.07)
mean_GaitCycleDur * H3000’s	-0.02 (-0.17 to 0.14)			0.32 (-0.14 to 0.79)			0.14 (-0.12 to 0.40)			0.44 (-1.1 to 2.0)			0.08 (-0.69 to 0.85)			-0.05 (-0.10 to 0.00)			-0.07 (-0.12 to -0.01)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)			1.4 (NA to NA)			0.15 (NA to NA)			0.46 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.68 (NA to NA)			0.38 (NA to NA)			2.5 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.08 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0786, R2c: 0.8942

alpha_avg_power R2m: 0.0084, R2c: 0.9377

beta_avg_power R2m: 0.0786, R2c: 0.9581

theta_div_beta R2m: 0.0075, R2c: 0.19

log_theta_div_beta R2m: 0.0285, R2c: 0.5893

aperiodic_exp R2m: 0.1118, R2c: 0.8512

aperiodic_offset R2m: 0.0247, R2c: 0.9713

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 7
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.34 (0.08 to 0.61)	0.012	0.036	2.6 (1.5 to 3.6)	<0.001	<0.001	2.6 (1.9 to 3.3)	<0.001	<0.001	-0.49 (-1.7 to 0.74)	0.44	0.61	2.2 (1.4 to 2.9)	<0.001	<0.001	1.0 (0.97 to 1.1)	<0.001	<0.001	-1.3 (-1.5 to -1.1)	<0.001	<0.001
mean_PeakUpDownVel_mean	0.50 (0.08 to 0.91)	0.018	0.036	-0.18 (-1.4 to 1.1)	0.77	0.83	-0.80 (-1.5 to -0.14)	0.018	0.027	3.7 (-0.65 to 8.1)	0.10	0.38	-1.2 (-3.3 to 0.90)	0.26	0.47	0.06 (-0.06 to 0.19)	0.34	0.36	0.13 (-0.01 to 0.28)	0.074	0.15
group_char		0.036	0.049		0.83	0.83		0.020	0.027		0.79	0.79		0.35	0.47		0.007	0.015		0.64	0.64
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.55 (-0.98 to -0.11)			-0.07 (-1.8 to 1.7)			0.92 (-0.21 to 2.0)			0.36 (-1.6 to 2.3)			0.89 (-0.33 to 2.1)			-0.15 (-0.26 to -0.04)			-0.13 (-0.42 to 0.16)
H3000’s	-0.35 (-0.73 to 0.04)			0.40 (-1.1 to 1.9)			1.4 (0.40 to 2.4)			0.62 (-1.1 to 2.4)			0.21 (-0.88 to 1.3)			-0.13 (-0.23 to -0.04)			-0.01 (-0.26 to 0.25)
mean_PeakUpDownVel_mean * group_char		0.49	0.49		0.17	0.33		0.16	0.16		0.46	0.61		0.81	0.81		0.36	0.36		0.19	0.25
mean_PeakUpDownVel_mean * H2000’s	0.37 (-0.27 to 1.0)			-1.4 (-3.4 to 0.52)			-0.78 (-1.8 to 0.26)			-2.9 (-9.7 to 3.8)			-0.51 (-3.8 to 2.8)			0.04 (-0.15 to 0.24)			-0.04 (-0.27 to 0.18)
mean_PeakUpDownVel_mean * H3000’s	0.04 (-0.55 to 0.62)			-1.6 (-3.3 to 0.19)			-0.84 (-1.8 to 0.11)			-3.7 (-9.8 to 2.3)			0.56 (-2.4 to 3.5)			0.13 (-0.05 to 0.30)			0.15 (-0.05 to 0.36)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)			1.2 (NA to NA)			1.4 (NA to NA)			0.16 (NA to NA)			0.46 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)			2.5 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.08 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0798, R2c: 0.8979

alpha_avg_power R2m: 0.008, R2c: 0.9373

beta_avg_power R2m: 0.0821, R2c: 0.9617

theta_div_beta R2m: 0.0115, R2c: 0.2004

log_theta_div_beta R2m: 0.0306, R2c: 0.5909

aperiodic_exp R2m: 0.1084, R2c: 0.8547

aperiodic_offset R2m: 0.0238, R2c: 0.9713

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_avg_power for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.45 (0.09 to 0.81)	0.015	0.061	3.8 (2.8 to 4.9)	<0.001	<0.001	2.3 (1.8 to 2.9)	<0.001	<0.001	0.61 (-0.93 to 2.1)	0.44	0.68	0.86 (-0.18 to 1.9)	0.10	0.21	1.2 (1.1 to 1.3)	<0.001	<0.001	-0.77 (-0.98 to -0.57)	<0.001	<0.001
mean_APexc_COV	0.00 (-0.01 to 0.02)	0.54	0.63	0.01 (-0.03 to 0.04)	0.68	0.75	0.01 (-0.01 to 0.02)	0.53	0.53	-0.02 (-0.11 to 0.07)	0.65	0.68	0.02 (-0.04 to 0.07)	0.49	0.49	0.00 (0.00 to 0.00)	0.14	0.19	0.00 (-0.01 to 0.00)	0.32	0.42
group_char		0.47	0.63		0.75	0.75		0.40	0.53		0.62	0.68		0.060	0.21		0.021	0.041		0.17	0.35
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.18 (-0.76 to 0.39)			-0.18 (-1.9 to 1.5)			0.47 (-0.41 to 1.3)			-1.2 (-3.6 to 1.2)			2.0 (0.34 to 3.7)			-0.19 (-0.33 to -0.05)			-0.31 (-0.63 to 0.01)
H3000’s	0.20 (-0.36 to 0.76)			-0.62 (-2.3 to 1.0)			-0.15 (-1.0 to 0.70)			-0.56 (-2.8 to 1.7)			0.56 (-1.1 to 2.2)			-0.11 (-0.25 to 0.02)			-0.13 (-0.45 to 0.19)
mean_APexc_COV * group_char		0.63	0.63		0.75	0.75		0.092	0.18		0.68	0.68		0.19	0.25		0.40	0.40		0.95	0.95
mean_APexc_COV * H2000’s	0.00 (-0.02 to 0.02)			-0.01 (-0.06 to 0.04)			-0.01 (-0.03 to 0.01)			0.05 (-0.07 to 0.18)			-0.06 (-0.13 to 0.02)			0.00 (0.00 to 0.01)			0.00 (0.00 to 0.01)
mean_APexc_COV * H3000’s	-0.01 (-0.02 to 0.01)			0.01 (-0.04 to 0.05)			0.01 (-0.01 to 0.03)			0.04 (-0.07 to 0.16)			0.00 (-0.07 to 0.07)			0.00 (0.00 to 0.01)			0.00 (0.00 to 0.01)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.54 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)			1.0 (NA to NA)			0.05 (NA to NA)			0.07 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0151, R2c: 0.9331

alpha_avg_power R2m: 0.006, R2c: 0.9487

beta_avg_power R2m: 0.0116, R2c: 0.9518

theta_div_beta R2m: 0.0116, R2c: 0.0116

log_theta_div_beta R2m: 0.0526, R2c: 0.6997

aperiodic_exp R2m: 0.0823, R2c: 0.9565

aperiodic_offset R2m: 0.0496, R2c: 0.9827

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in alpha_avg_power for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.59 (0.26 to 0.93)	<0.001	0.002	3.9 (2.9 to 4.9)	<0.001	<0.001	2.3 (1.8 to 2.8)	<0.001	<0.001	0.31 (-1.0 to 1.6)	0.65	0.86	0.97 (0.09 to 1.9)	0.031	0.13	1.2 (1.1 to 1.3)	<0.001	<0.001	-0.80 (-1.0 to -0.60)	<0.001	<0.001
mean_APexc_mean	-1.5 (-4.3 to 1.3)	0.30	0.60	1.4 (-5.9 to 8.8)	0.70	0.70	1.5 (-2.2 to 5.3)	0.42	0.56	-0.82 (-24 to 22)	0.94	0.94	3.7 (-8.7 to 16)	0.56	0.74	-0.27 (-0.86 to 0.32)	0.37	0.50	-0.10 (-1.0 to 0.83)	0.84	0.84
group_char		0.54	0.72		0.61	0.70		0.96	0.96		0.16	0.32		0.43	0.74		0.062	0.12		0.21	0.43
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.22 (-0.75 to 0.30)			-0.76 (-2.3 to 0.80)			0.06 (-0.76 to 0.88)			1.8 (-0.13 to 3.7)			0.81 (-0.54 to 2.2)			-0.15 (-0.28 to -0.02)			-0.28 (-0.60 to 0.03)
H3000’s	0.08 (-0.43 to 0.59)			-0.51 (-2.0 to 1.0)			0.12 (-0.68 to 0.92)			0.43 (-1.3 to 2.2)			0.67 (-0.63 to 2.0)			-0.09 (-0.21 to 0.04)			-0.11 (-0.42 to 0.20)
mean_APexc_mean * group_char		0.87	0.87		0.34	0.67		0.24	0.47		0.054	0.21		0.97	0.97		0.91	0.91		0.71	0.84
mean_APexc_mean * H2000’s	0.08 (-4.6 to 4.8)			9.3 (-3.1 to 22)			5.3 (-0.98 to 12)			-43 (-80 to -6.1)			2.1 (-19 to 23)			-0.13 (-1.1 to 0.87)			-0.48 (-2.0 to 1.1)
mean_APexc_mean * H3000’s	-1.2 (-6.2 to 3.8)			2.8 (-10 to 16)			3.1 (-3.6 to 9.7)			-3.4 (-39 to 32)			2.3 (-19 to 24)			0.14 (-0.91 to 1.2)			-0.63 (-2.3 to 1.0)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.54 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)			2.0 (NA to NA)			1.0 (NA to NA)			0.05 (NA to NA)			0.07 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.016, R2c: 0.9333

alpha_avg_power R2m: 0.0069, R2c: 0.9504

beta_avg_power R2m: 0.0112, R2c: 0.9536

theta_div_beta R2m: 0.0376, R2c: 0.0376

log_theta_div_beta R2m: 0.0484, R2c: 0.6968

aperiodic_exp R2m: 0.0822, R2c: 0.9564

aperiodic_offset R2m: 0.0498, R2c: 0.9826

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in beta_avg_power for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.46 (0.12 to 0.80)	0.009	0.036	3.9 (2.9 to 4.9)	<0.001	<0.001	2.4 (1.8 to 2.9)	<0.001	<0.001	0.31 (-0.77 to 1.4)	0.57	0.76	1.4 (0.45 to 2.3)	0.003	0.014	1.1 (1.1 to 1.2)	<0.001	<0.001	-0.85 (-1.0 to -0.65)	<0.001	<0.001
mean_MLexc_COV	0.00 (-0.01 to 0.02)	0.57	0.57	0.00 (-0.03 to 0.04)	0.83	0.97	0.00 (-0.02 to 0.02)	0.91	0.91	0.00 (-0.07 to 0.07)	0.93	0.93	-0.01 (-0.06 to 0.04)	0.59	0.59	0.00 (0.00 to 0.00)	0.21	0.21	0.00 (0.00 to 0.01)	0.17	0.23
group_char		0.20	0.26		0.97	0.97		0.42	0.56		0.29	0.76		0.052	0.10		0.042	0.085		0.17	0.23
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.38 (-0.91 to 0.15)			-0.17 (-1.7 to 1.4)			0.53 (-0.30 to 1.4)			-1.2 (-2.9 to 0.53)			1.6 (0.22 to 2.9)			-0.16 (-0.29 to -0.03)			-0.30 (-0.62 to 0.01)
H3000’s	0.10 (-0.42 to 0.63)			-0.13 (-1.7 to 1.4)			0.37 (-0.44 to 1.2)			0.20 (-1.6 to 2.0)			0.21 (-1.2 to 1.6)			-0.03 (-0.16 to 0.10)			-0.10 (-0.40 to 0.21)
mean_MLexc_COV * group_char		0.15	0.26		0.69	0.97		0.35	0.56		0.42	0.76		0.076	0.10		0.11	0.14		0.59	0.59
mean_MLexc_COV * H2000’s	0.01 (0.00 to 0.03)			-0.01 (-0.06 to 0.03)			-0.02 (-0.04 to 0.01)			0.07 (-0.04 to 0.18)			-0.05 (-0.12 to 0.02)			0.00 (0.00 to 0.00)			0.00 (-0.01 to 0.01)
mean_MLexc_COV * H3000’s	0.00 (-0.02 to 0.01)			-0.02 (-0.07 to 0.03)			-0.01 (-0.03 to 0.01)			0.01 (-0.11 to 0.12)			0.03 (-0.04 to 0.11)			0.00 (-0.01 to 0.00)			0.00 (-0.01 to 0.00)
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.54 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)			0.99 (NA to NA)			0.05 (NA to NA)			0.07 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0177, R2c: 0.9345

alpha_avg_power R2m: 0.0059, R2c: 0.9491

beta_avg_power R2m: 0.01, R2c: 0.9519

theta_div_beta R2m: 0.0157, R2c: 0.0157

log_theta_div_beta R2m: 0.0574, R2c: 0.7064

aperiodic_exp R2m: 0.0838, R2c: 0.9568

aperiodic_offset R2m: 0.0502, R2c: 0.9827

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_div_beta for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.62 (0.29 to 0.94)	<0.001	0.001	3.9 (2.9 to 4.9)	<0.001	<0.001	2.3 (1.8 to 2.8)	<0.001	<0.001	0.31 (-0.82 to 1.4)	0.59	0.79	0.77 (-0.06 to 1.6)	0.069	0.28	1.2 (1.1 to 1.3)	<0.001	<0.001	-0.78 (-0.98 to -0.58)	<0.001	<0.001
mean_MLexc_mean	-1.3 (-3.0 to 0.44)	0.14	0.29	0.18 (-4.5 to 4.8)	0.94	0.94	0.92 (-1.4 to 3.3)	0.44	0.69	-0.51 (-14 to 13)	0.94	0.94	4.9 (-2.8 to 13)	0.21	0.28	-0.27 (-0.64 to 0.10)	0.15	0.20	-0.30 (-0.87 to 0.27)	0.30	0.40
group_char		0.69	0.89		0.65	0.87		0.94	0.94		0.10	0.19		0.15	0.28		0.049	0.10		0.20	0.40
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.14 (-0.65 to 0.36)			-0.63 (-2.2 to 0.90)			0.14 (-0.67 to 0.95)			1.4 (-0.20 to 3.0)			0.80 (-0.42 to 2.0)			-0.16 (-0.28 to -0.03)			-0.28 (-0.60 to 0.03)
H3000’s	0.09 (-0.41 to 0.59)			-0.57 (-2.1 to 0.93)			0.08 (-0.71 to 0.88)			-0.22 (-1.8 to 1.3)			1.2 (-0.04 to 2.4)			-0.09 (-0.21 to 0.04)			-0.10 (-0.40 to 0.20)
mean_MLexc_mean * group_char		0.89	0.89		0.61	0.87		0.52	0.69		0.017	0.069		0.43	0.43		0.87	0.87		0.62	0.62
mean_MLexc_mean * H2000’s	-0.55 (-2.8 to 1.7)			3.1 (-3.0 to 9.1)			1.6 (-1.5 to 4.6)			-18 (-36 to 0.07)			0.30 (-9.8 to 10)			0.02 (-0.46 to 0.50)			-0.18 (-0.92 to 0.56)
mean_MLexc_mean * H3000’s	-0.42 (-2.8 to 2.0)			1.8 (-4.7 to 8.4)			1.7 (-1.6 to 5.0)			6.3 (-11 to 24)			-5.8 (-17 to 5.0)			0.13 (-0.39 to 0.65)			-0.40 (-1.2 to 0.40)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.54 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.0 (NA to NA)			1.0 (NA to NA)			0.05 (NA to NA)			0.07 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0187, R2c: 0.9363

alpha_avg_power R2m: 0.0063, R2c: 0.9499

beta_avg_power R2m: 0.0113, R2c: 0.9546

theta_div_beta R2m: 0.0398, R2c: 0.0398

log_theta_div_beta R2m: 0.0525, R2c: 0.6968

aperiodic_exp R2m: 0.083, R2c: 0.9571

aperiodic_offset R2m: 0.0507, R2c: 0.9833

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in log_theta_div_beta for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.61 (0.29 to 0.93)	<0.001	<0.001	3.9 (2.9 to 4.8)	<0.001	<0.001	2.3 (1.8 to 2.8)	<0.001	<0.001	0.28 (-0.82 to 1.4)	0.62	0.83	0.93 (0.15 to 1.7)	0.019	0.076	1.2 (1.1 to 1.3)	<0.001	<0.001	-0.79 (-0.99 to -0.60)	<0.001	<0.001
mean_StepDur	-0.11 (-0.23 to 0.02)	0.10	0.20	0.07 (-0.26 to 0.41)	0.67	0.67	0.09 (-0.08 to 0.26)	0.31	0.42	-0.01 (-1.1 to 1.1)	0.98	0.98	0.27 (-0.31 to 0.85)	0.36	0.53	-0.02 (-0.04 to 0.01)	0.24	0.32	-0.01 (-0.06 to 0.03)	0.50	0.50
group_char		0.53	0.53		0.53	0.67		0.98	0.98		0.061	0.12		0.53	0.53		0.087	0.17		0.25	0.33
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.15 (-0.67 to 0.37)			-0.69 (-2.2 to 0.86)			0.07 (-0.74 to 0.88)			2.2 (0.30 to 4.2)			0.76 (-0.56 to 2.1)			-0.14 (-0.27 to -0.02)			-0.26 (-0.58 to 0.05)
H3000’s	0.18 (-0.34 to 0.69)			-0.78 (-2.3 to 0.75)			0.05 (-0.75 to 0.86)			0.08 (-1.9 to 2.0)			0.17 (-1.2 to 1.5)			-0.07 (-0.20 to 0.06)			-0.07 (-0.37 to 0.24)
mean_StepDur * group_char		0.39	0.52		0.24	0.49		0.17	0.35		0.020	0.080		0.44	0.53		0.73	0.73		0.11	0.22
mean_StepDur * H2000’s	-0.09 (-0.35 to 0.17)			0.45 (-0.25 to 1.2)			0.30 (-0.06 to 0.66)			-3.2 (-5.5 to -0.84)			0.20 (-1.0 to 1.4)			-0.02 (-0.08 to 0.04)			-0.05 (-0.14 to 0.03)
mean_StepDur * H3000’s	-0.21 (-0.53 to 0.11)			0.58 (-0.28 to 1.4)			0.27 (-0.17 to 0.71)			0.31 (-2.3 to 2.9)			0.97 (-0.51 to 2.4)			-0.02 (-0.09 to 0.05)			-0.10 (-0.21 to 0.00)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.54 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.0 (NA to NA)			1.0 (NA to NA)			0.05 (NA to NA)			0.07 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0176, R2c: 0.9358

alpha_avg_power R2m: 0.0065, R2c: 0.9496

beta_avg_power R2m: 0.0104, R2c: 0.9527

theta_div_beta R2m: 0.0392, R2c: 0.0392

log_theta_div_beta R2m: 0.0535, R2c: 0.6967

aperiodic_exp R2m: 0.0822, R2c: 0.9565

aperiodic_offset R2m: 0.0503, R2c: 0.9831

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_exp for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.58 (0.27 to 0.89)	<0.001	0.001	4.0 (3.0 to 4.9)	<0.001	<0.001	2.3 (1.8 to 2.8)	<0.001	<0.001	0.31 (-0.61 to 1.2)	0.51	0.91	0.96 (0.25 to 1.7)	0.008	0.033	1.2 (1.1 to 1.2)	<0.001	<0.001	-0.79 (-0.99 to -0.60)	<0.001	<0.001
mean_UDexc_COV	-0.01 (-0.01 to 0.00)	0.17	0.33	0.00 (-0.02 to 0.02)	0.71	0.71	0.00 (-0.01 to 0.01)	0.46	0.61	0.00 (-0.07 to 0.06)	0.91	0.91	0.02 (-0.02 to 0.05)	0.35	0.46	0.00 (0.00 to 0.00)	0.29	0.38	0.00 (0.00 to 0.00)	0.46	0.46
group_char		0.52	0.69		0.58	0.71		0.91	0.91		0.84	0.91		0.11	0.22		0.054	0.11		0.19	0.25
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.20 (-0.70 to 0.30)			-0.63 (-2.1 to 0.87)			0.17 (-0.62 to 0.96)			0.39 (-1.1 to 1.9)			1.1 (-0.02 to 2.2)			-0.15 (-0.28 to -0.03)			-0.29 (-0.60 to 0.02)
H3000’s	0.11 (-0.38 to 0.60)			-0.68 (-2.2 to 0.79)			0.02 (-0.75 to 0.80)			0.38 (-1.2 to 1.9)			0.89 (-0.25 to 2.0)			-0.06 (-0.18 to 0.06)			-0.07 (-0.38 to 0.23)
mean_UDexc_COV * group_char		0.85	0.85		0.36	0.71		0.24	0.49		0.73	0.91		0.77	0.77		0.66	0.66		0.13	0.25
mean_UDexc_COV * H2000’s	0.00 (-0.01 to 0.01)			0.02 (-0.01 to 0.05)			0.01 (-0.01 to 0.02)			-0.04 (-0.14 to 0.06)			-0.02 (-0.07 to 0.03)			0.00 (0.00 to 0.00)			0.00 (-0.01 to 0.00)
mean_UDexc_COV * H3000’s	0.00 (-0.02 to 0.01)			0.02 (-0.01 to 0.05)			0.01 (0.00 to 0.03)			-0.01 (-0.11 to 0.10)			-0.01 (-0.07 to 0.04)			0.00 (0.00 to 0.00)			0.00 (-0.01 to 0.00)
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.54 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)			1.0 (NA to NA)			0.05 (NA to NA)			0.07 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0165, R2c: 0.9341

alpha_avg_power R2m: 0.0062, R2c: 0.9496

beta_avg_power R2m: 0.011, R2c: 0.9536

theta_div_beta R2m: 0.0118, R2c: 0.0118

log_theta_div_beta R2m: 0.0477, R2c: 0.6954

aperiodic_exp R2m: 0.0827, R2c: 0.9574

aperiodic_offset R2m: 0.0504, R2c: 0.9834

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_offset for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.37 (0.05 to 0.69)	0.023	0.047	3.9 (2.9 to 4.9)	<0.001	<0.001	2.4 (1.9 to 2.9)	<0.001	<0.001	0.28 (-0.81 to 1.4)	0.62	0.82	1.4 (0.64 to 2.2)	<0.001	0.001	1.1 (1.1 to 1.2)	<0.001	<0.001	-0.83 (-1.0 to -0.63)	<0.001	<0.001
mean_UDexc_mean	5.9 (0.89 to 11)	0.021	0.047	1.5 (-12 to 15)	0.83	0.99	-1.4 (-8.2 to 5.4)	0.69	0.69	-0.53 (-44 to 43)	0.98	0.98	-9.9 (-33 to 13)	0.39	0.52	0.62 (-0.45 to 1.7)	0.26	0.34	0.86 (-0.80 to 2.5)	0.31	0.41
group_char		0.56	0.75		0.99	0.99		0.35	0.46		0.10	0.40		0.12	0.25		0.040	0.079		0.12	0.23
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.23 (-0.73 to 0.27)			-0.06 (-1.6 to 1.5)			0.46 (-0.33 to 1.2)			-1.3 (-3.0 to 0.35)			1.2 (0.00 to 2.4)			-0.16 (-0.29 to -0.04)			-0.33 (-0.64 to -0.02)
H3000’s	0.04 (-0.45 to 0.54)			-0.12 (-1.6 to 1.4)			0.51 (-0.26 to 1.3)			0.51 (-1.1 to 2.1)			0.82 (-0.37 to 2.0)			-0.07 (-0.20 to 0.05)			-0.17 (-0.47 to 0.13)
mean_UDexc_mean * group_char		0.96	0.96		0.38	0.76		0.089	0.18		0.20	0.40		0.73	0.73		0.84	0.84		0.53	0.53
mean_UDexc_mean * H2000’s	1.1 (-6.4 to 8.5)			-13 (-33 to 7.7)			-7.1 (-17 to 3.1)			48 (-17 to 112)			-13 (-47 to 21)			0.28 (-1.3 to 1.9)			1.0 (-1.5 to 3.5)
mean_UDexc_mean * H3000’s	0.18 (-7.3 to 7.7)			-12 (-32 to 8.4)			-11 (-21 to -0.98)			-8.4 (-70 to 53)			-3.6 (-37 to 30)			-0.23 (-1.8 to 1.4)			1.4 (-1.1 to 3.9)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.54 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)			0.99 (NA to NA)			0.05 (NA to NA)			0.07 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0192, R2c: 0.937

alpha_avg_power R2m: 0.0065, R2c: 0.9495

beta_avg_power R2m: 0.0125, R2c: 0.9528

theta_div_beta R2m: 0.0207, R2c: 0.0207

log_theta_div_beta R2m: 0.0535, R2c: 0.6991

aperiodic_exp R2m: 0.0825, R2c: 0.9569

aperiodic_offset R2m: 0.0501, R2c: 0.9834

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.59 (0.28 to 0.90)	<0.001	<0.001	3.9 (2.9 to 4.8)	<0.001	<0.001	2.3 (1.8 to 2.8)	<0.001	<0.001	0.28 (-0.63 to 1.2)	0.54	0.73	0.94 (0.23 to 1.7)	0.009	0.037	1.2 (1.1 to 1.3)	<0.001	<0.001	-0.79 (-0.99 to -0.60)	<0.001	<0.001
mean_StanceDur	-0.07 (-0.14 to 0.01)	0.084	0.17	0.05 (-0.15 to 0.25)	0.60	0.60	0.06 (-0.04 to 0.16)	0.26	0.35	-0.01 (-0.69 to 0.66)	0.97	0.97	0.19 (-0.16 to 0.53)	0.29	0.45	-0.01 (-0.03 to 0.01)	0.18	0.25	-0.01 (-0.04 to 0.01)	0.39	0.39
group_char		0.50	0.50		0.60	0.60		0.94	0.94		0.056	0.11		0.34	0.45		0.069	0.14		0.22	0.30
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.17 (-0.67 to 0.33)			-0.61 (-2.1 to 0.91)			0.13 (-0.67 to 0.92)			1.9 (0.29 to 3.5)			0.88 (-0.30 to 2.1)			-0.15 (-0.27 to -0.02)			-0.27 (-0.58 to 0.04)
H3000’s	0.16 (-0.34 to 0.65)			-0.67 (-2.2 to 0.82)			0.09 (-0.69 to 0.87)			0.11 (-1.5 to 1.8)			0.40 (-0.81 to 1.6)			-0.07 (-0.20 to 0.05)			-0.09 (-0.39 to 0.22)
mean_StanceDur * group_char		0.39	0.50		0.30	0.60		0.20	0.35		0.012	0.048		0.58	0.58		0.76	0.76		0.13	0.26
mean_StanceDur * H2000’s	-0.04 (-0.20 to 0.11)			0.25 (-0.16 to 0.66)			0.17 (-0.04 to 0.38)			-2.0 (-3.4 to -0.62)			0.02 (-0.69 to 0.74)			-0.01 (-0.04 to 0.02)			-0.03 (-0.08 to 0.02)
mean_StanceDur * H3000’s	-0.13 (-0.31 to 0.06)			0.31 (-0.19 to 0.80)			0.15 (-0.10 to 0.40)			0.20 (-1.4 to 1.7)			0.45 (-0.40 to 1.3)			-0.01 (-0.05 to 0.03)			-0.06 (-0.12 to 0.00)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.54 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.0 (NA to NA)			1.0 (NA to NA)			0.05 (NA to NA)			0.07 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0175, R2c: 0.9359

alpha_avg_power R2m: 0.0064, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9527

theta_div_beta R2m: 0.0435, R2c: 0.0435

log_theta_div_beta R2m: 0.0522, R2c: 0.6959

aperiodic_exp R2m: 0.0822, R2c: 0.9566

aperiodic_offset R2m: 0.0502, R2c: 0.9831

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.61 (0.29 to 0.93)	<0.001	<0.001	3.9 (2.9 to 4.8)	<0.001	<0.001	2.3 (1.8 to 2.8)	<0.001	<0.001	0.28 (-0.82 to 1.4)	0.62	0.83	0.93 (0.15 to 1.7)	0.019	0.076	1.2 (1.1 to 1.3)	<0.001	<0.001	-0.79 (-0.99 to -0.60)	<0.001	<0.001
mean_GaitCycleDur	-0.05 (-0.12 to 0.01)	0.10	0.20	0.04 (-0.13 to 0.20)	0.68	0.68	0.04 (-0.04 to 0.13)	0.31	0.41	-0.01 (-0.57 to 0.56)	0.98	0.98	0.14 (-0.16 to 0.43)	0.36	0.52	-0.01 (-0.02 to 0.01)	0.24	0.32	-0.01 (-0.03 to 0.01)	0.50	0.50
group_char		0.53	0.53		0.53	0.68		0.98	0.98		0.063	0.13		0.52	0.52		0.087	0.17		0.25	0.33
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.15 (-0.67 to 0.37)			-0.69 (-2.2 to 0.86)			0.07 (-0.74 to 0.88)			2.2 (0.29 to 4.2)			0.76 (-0.55 to 2.1)			-0.14 (-0.27 to -0.02)			-0.26 (-0.58 to 0.05)
H3000’s	0.18 (-0.34 to 0.69)			-0.79 (-2.3 to 0.75)			0.05 (-0.75 to 0.86)			0.07 (-1.9 to 2.0)			0.16 (-1.2 to 1.5)			-0.07 (-0.20 to 0.06)			-0.07 (-0.37 to 0.24)
mean_GaitCycleDur * group_char		0.39	0.52		0.24	0.49		0.17	0.35		0.021	0.083		0.44	0.52		0.72	0.72		0.11	0.22
mean_GaitCycleDur * H2000’s	-0.05 (-0.18 to 0.09)			0.22 (-0.12 to 0.57)			0.15 (-0.03 to 0.33)			-1.6 (-2.7 to -0.41)			0.09 (-0.51 to 0.70)			-0.01 (-0.04 to 0.02)			-0.03 (-0.07 to 0.02)
mean_GaitCycleDur * H3000’s	-0.11 (-0.27 to 0.05)			0.29 (-0.14 to 0.72)			0.13 (-0.09 to 0.35)			0.16 (-1.1 to 1.4)			0.48 (-0.25 to 1.2)			-0.01 (-0.04 to 0.02)			-0.05 (-0.10 to 0.00)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.54 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.0 (NA to NA)			1.0 (NA to NA)			0.05 (NA to NA)			0.07 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0176, R2c: 0.9358

alpha_avg_power R2m: 0.0065, R2c: 0.9496

beta_avg_power R2m: 0.0104, R2c: 0.9527

theta_div_beta R2m: 0.0389, R2c: 0.0389

log_theta_div_beta R2m: 0.0535, R2c: 0.6966

aperiodic_exp R2m: 0.0822, R2c: 0.9565

aperiodic_offset R2m: 0.0503, R2c: 0.9831

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.42 (0.11 to 0.73)	0.008	0.034	3.9 (3.0 to 4.9)	<0.001	<0.001	2.4 (1.9 to 2.9)	<0.001	<0.001	0.26 (-0.62 to 1.1)	0.56	0.74	1.4 (0.68 to 2.0)	<0.001	<0.001	1.1 (1.1 to 1.2)	<0.001	<0.001	-0.82 (-1.0 to -0.62)	<0.001	<0.001
mean_PeakUpDownVel_mean	0.39 (0.02 to 0.77)	0.039	0.077	0.05 (-0.96 to 1.1)	0.93	0.95	-0.09 (-0.60 to 0.42)	0.72	0.72	0.01 (-3.4 to 3.4)	0.99	0.99	-0.78 (-2.5 to 0.92)	0.37	0.49	0.05 (-0.03 to 0.13)	0.26	0.35	0.05 (-0.07 to 0.18)	0.42	0.51
group_char		0.55	0.73		0.95	0.95		0.40	0.53		0.035	0.14		0.10	0.19		0.038	0.076		0.12	0.24
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.24 (-0.73 to 0.25)			-0.08 (-1.6 to 1.4)			0.45 (-0.32 to 1.2)			-1.3 (-2.7 to 0.04)			1.1 (0.05 to 2.2)			-0.16 (-0.28 to -0.04)			-0.32 (-0.63 to -0.01)
H3000’s	0.02 (-0.46 to 0.50)			-0.22 (-1.7 to 1.2)			0.44 (-0.32 to 1.2)			0.55 (-0.81 to 1.9)			0.81 (-0.26 to 1.9)			-0.07 (-0.19 to 0.05)			-0.16 (-0.47 to 0.14)
mean_PeakUpDownVel_mean * group_char		0.92	0.92		0.33	0.67		0.093	0.19		0.077	0.15		0.77	0.77		0.80	0.80		0.51	0.51
mean_PeakUpDownVel_mean * H2000’s	0.11 (-0.44 to 0.66)			-1.1 (-2.6 to 0.39)			-0.64 (-1.4 to 0.11)			4.5 (-0.43 to 9.5)			-0.91 (-3.4 to 1.6)			0.01 (-0.10 to 0.13)			0.08 (-0.11 to 0.26)
mean_PeakUpDownVel_mean * H3000’s	0.07 (-0.48 to 0.63)			-0.72 (-2.2 to 0.77)			-0.77 (-1.5 to -0.02)			-0.90 (-5.8 to 4.0)			-0.24 (-2.8 to 2.3)			-0.03 (-0.15 to 0.09)			0.10 (-0.08 to 0.29)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.54 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.29 (NA to NA)			2.1 (NA to NA)			0.99 (NA to NA)			0.05 (NA to NA)			0.07 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0186, R2c: 0.937

alpha_avg_power R2m: 0.0066, R2c: 0.9497

beta_avg_power R2m: 0.0119, R2c: 0.9534

theta_div_beta R2m: 0.0288, R2c: 0.0288

log_theta_div_beta R2m: 0.0531, R2c: 0.6985

aperiodic_exp R2m: 0.0823, R2c: 0.9568

aperiodic_offset R2m: 0.0501, R2c: 0.9832

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_avg_power for Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.81 (0.27 to 1.4)	0.003	0.013	0.66 (-0.31 to 1.6)	0.18	0.36	0.76 (0.26 to 1.3)	0.003	0.011	5.8 (-12 to 23)	0.52	0.99	1.5 (0.02 to 2.9)	0.048	0.084	1.0 (0.84 to 1.2)	<0.001	<0.001	-0.96 (-1.3 to -0.60)	<0.001	<0.001
mean_APexc_COV	-0.01 (-0.04 to 0.02)	0.44	0.87	-0.01 (-0.04 to 0.03)	0.77	0.94	0.00 (-0.02 to 0.02)	0.80	0.80	-0.21 (-1.3 to 0.87)	0.70	0.99	-0.03 (-0.11 to 0.06)	0.50	0.50	0.00 (-0.01 to 0.00)	0.23	0.46	0.00 (-0.01 to 0.00)	0.39	0.45
group_char		0.78	0.95		0.058	0.23		0.16	0.31		0.99	0.99		0.032	0.084		0.55	0.55		0.42	0.45
H1000’s	—			—			—			—			—			—			—
H2000’s	0.15 (-0.63 to 0.93)			1.6 (0.20 to 3.0)			-0.11 (-0.84 to 0.62)			-0.09 (-25 to 25)			1.8 (-0.22 to 3.9)			-0.04 (-0.29 to 0.21)			0.33 (-0.20 to 0.87)
H3000’s	-0.12 (-0.85 to 0.61)			1.2 (-0.07 to 2.6)			-0.62 (-1.3 to 0.06)			0.05 (-23 to 23)			-0.69 (-2.6 to 1.2)			-0.13 (-0.36 to 0.11)			0.05 (-0.44 to 0.55)
mean_APexc_COV * group_char		0.95	0.95		0.94	0.94		0.79	0.80		0.98	0.99		0.063	0.084		0.35	0.47		0.45	0.45
mean_APexc_COV * H2000’s	0.00 (-0.03 to 0.04)			0.00 (-0.05 to 0.04)			0.00 (-0.03 to 0.02)			-0.01 (-1.3 to 1.3)			-0.05 (-0.16 to 0.05)			0.00 (0.00 to 0.01)			0.00 (-0.01 to 0.01)
mean_APexc_COV * H3000’s	0.00 (-0.03 to 0.03)			-0.01 (-0.05 to 0.04)			0.00 (-0.02 to 0.02)			0.08 (-1.1 to 1.3)			0.04 (-0.06 to 0.14)			0.01 (0.00 to 0.01)			0.01 (0.00 to 0.01)
subj_char.sd__(Intercept)	0.65 (NA to NA)			1.4 (NA to NA)			0.74 (NA to NA)			4.6 (NA to NA)			0.86 (NA to NA)			0.25 (NA to NA)			0.63 (NA to NA)
Residual.sd__Observation	0.30 (NA to NA)			0.43 (NA to NA)			0.21 (NA to NA)			15 (NA to NA)			1.0 (NA to NA)			0.08 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0293, R2c: 0.8324

alpha_avg_power R2m: 0.1481, R2c: 0.9252

beta_avg_power R2m: 0.0865, R2c: 0.9318

theta_div_beta R2m: 0.0074, R2c: 0.0955

log_theta_div_beta R2m: 0.0635, R2c: 0.4392

aperiodic_exp R2m: 0.0123, R2c: 0.911

aperiodic_offset R2m: 0.0483, R2c: 0.9802

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in alpha_avg_power for Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.99 (0.54 to 1.4)	<0.001	<0.001	0.66 (-0.21 to 1.5)	0.14	0.27	0.68 (0.23 to 1.1)	0.003	0.014	0.56 (-13 to 14)	0.94	0.94	1.1 (-0.01 to 2.3)	0.052	0.21	1.0 (0.85 to 1.2)	<0.001	<0.001	-0.95 (-1.3 to -0.60)	<0.001	<0.001
mean_APexc_mean	-5.9 (-11 to -1.1)	0.016	0.031	-1.5 (-8.4 to 5.4)	0.68	0.68	2.0 (-1.4 to 5.4)	0.24	0.32	33 (-196 to 263)	0.78	0.94	-2.4 (-20 to 15)	0.79	0.86	-0.99 (-2.3 to 0.29)	0.13	0.26	-1.2 (-2.7 to 0.31)	0.12	0.24
group_char		0.14	0.14		0.27	0.37		0.22	0.32		0.18	0.39		0.63	0.86		0.62	0.62		0.59	0.59
H1000’s	—			—			—			—			—			—			—
H2000’s	0.03 (-0.66 to 0.71)			1.1 (-0.24 to 2.4)			-0.35 (-1.0 to 0.33)			-16 (-36 to 4.7)			0.82 (-0.93 to 2.6)			-0.03 (-0.26 to 0.20)			0.27 (-0.25 to 0.80)
H3000’s	-0.54 (-1.2 to 0.08)			0.35 (-0.83 to 1.5)			-0.55 (-1.2 to 0.08)			1.3 (-17 to 20)			0.15 (-1.4 to 1.7)			-0.10 (-0.31 to 0.11)			0.11 (-0.37 to 0.59)
mean_APexc_mean * group_char		0.11	0.14		0.028	0.11		0.36	0.36		0.20	0.39		0.86	0.86		0.29	0.39		0.54	0.59
mean_APexc_mean * H2000’s	1.8 (-7.3 to 11)			9.4 (-3.8 to 23)			4.6 (-1.8 to 11)			336 (-66 to 738)			-8.6 (-41 to 23)			1.4 (-1.1 to 3.8)			1.6 (-1.3 to 4.5)
mean_APexc_mean * H3000’s	8.3 (0.47 to 16)			15 (3.7 to 26)			0.76 (-4.7 to 6.3)			-16 (-367 to 335)			-4.7 (-32 to 23)			1.5 (-0.57 to 3.6)			0.68 (-1.8 to 3.1)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.4 (NA to NA)			0.75 (NA to NA)			4.1 (NA to NA)			0.88 (NA to NA)			0.25 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.42 (NA to NA)			0.20 (NA to NA)			15 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0365, R2c: 0.8374

alpha_avg_power R2m: 0.153, R2c: 0.9309

beta_avg_power R2m: 0.0891, R2c: 0.938

theta_div_beta R2m: 0.034, R2c: 0.1025

log_theta_div_beta R2m: 0.0292, R2c: 0.4188

aperiodic_exp R2m: 0.0123, R2c: 0.9105

aperiodic_offset R2m: 0.0486, R2c: 0.9803

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in beta_avg_power for Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.63 (0.09 to 1.2)	0.023	0.091	0.56 (-0.41 to 1.5)	0.26	0.51	0.85 (0.35 to 1.4)	<0.001	0.003	1.5 (-13 to 16)	0.84	0.89	0.90 (-0.46 to 2.3)	0.19	0.77	0.86 (0.68 to 1.0)	<0.001	<0.001	-1.1 (-1.5 to -0.76)	<0.001	<0.001
mean_MLexc_COV	0.00 (-0.02 to 0.03)	0.89	0.89	0.00 (-0.04 to 0.04)	0.98	0.98	0.00 (-0.02 to 0.02)	0.70	0.70	0.06 (-0.85 to 0.97)	0.89	0.89	0.01 (-0.08 to 0.09)	0.88	0.88	0.01 (0.00 to 0.01)	0.080	0.16	0.01 (0.00 to 0.02)	0.12	0.23
group_char		0.78	0.89		0.053	0.21		0.22	0.44		0.71	0.89		0.49	0.88		0.47	0.47		0.20	0.26
H1000’s	—			—			—			—			—			—			—
H2000’s	0.03 (-0.71 to 0.76)			1.7 (0.30 to 3.0)			0.02 (-0.68 to 0.73)			8.4 (-12 to 29)			1.1 (-0.76 to 2.9)			0.15 (-0.09 to 0.39)			0.48 (-0.04 to 1.0)
H3000’s	-0.19 (-0.88 to 0.51)			1.0 (-0.23 to 2.3)			-0.48 (-1.1 to 0.18)			2.8 (-16 to 22)			0.34 (-1.4 to 2.1)			0.09 (-0.14 to 0.31)			0.22 (-0.27 to 0.71)
mean_MLexc_COV * group_char		0.82	0.89		0.87	0.98		0.50	0.67		0.56	0.89		0.77	0.88		0.21	0.28		0.32	0.32
mean_MLexc_COV * H2000’s	0.01 (-0.02 to 0.04)			-0.01 (-0.06 to 0.04)			-0.01 (-0.04 to 0.01)			-0.68 (-2.0 to 0.60)			-0.04 (-0.15 to 0.07)			-0.01 (-0.02 to 0.00)			-0.01 (-0.02 to 0.00)
mean_MLexc_COV * H3000’s	0.01 (-0.03 to 0.04)			0.00 (-0.05 to 0.05)			-0.01 (-0.03 to 0.02)			-0.19 (-1.4 to 1.0)			-0.03 (-0.13 to 0.08)			-0.01 (-0.02 to 0.00)			0.00 (-0.01 to 0.01)
subj_char.sd__(Intercept)	0.65 (NA to NA)			1.4 (NA to NA)			0.75 (NA to NA)			4.6 (NA to NA)			0.89 (NA to NA)			0.24 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.30 (NA to NA)			0.44 (NA to NA)			0.21 (NA to NA)			15 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0299, R2c: 0.8338

alpha_avg_power R2m: 0.1466, R2c: 0.9243

beta_avg_power R2m: 0.0899, R2c: 0.9357

theta_div_beta R2m: 0.0151, R2c: 0.1029

log_theta_div_beta R2m: 0.0292, R2c: 0.4288

aperiodic_exp R2m: 0.0157, R2c: 0.9076

aperiodic_offset R2m: 0.0497, R2c: 0.9801

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_div_beta for Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.95 (0.48 to 1.4)	<0.001	<0.001	0.72 (-0.16 to 1.6)	0.11	0.22	0.66 (0.19 to 1.1)	0.005	0.021	-1.3 (-15 to 12)	0.86	0.99	1.2 (0.06 to 2.4)	0.039	0.16	1.0 (0.89 to 1.2)	<0.001	<0.001	-0.91 (-1.3 to -0.55)	<0.001	<0.001
mean_MLexc_mean	-3.6 (-7.2 to 0.00)	0.050	0.10	-1.8 (-7.0 to 3.4)	0.50	0.50	1.7 (-0.81 to 4.3)	0.18	0.33	46 (-112 to 205)	0.57	0.99	-2.9 (-16 to 9.8)	0.65	0.79	-1.1 (-2.1 to -0.16)	0.023	0.045	-1.4 (-2.5 to -0.24)	0.018	0.036
group_char		0.34	0.34		0.23	0.30		0.25	0.33		0.99	0.99		0.54	0.79		0.45	0.45		0.65	0.65
H1000’s	—			—			—			—			—			—			—
H2000’s	0.07 (-0.59 to 0.73)			1.1 (-0.18 to 2.3)			-0.24 (-0.90 to 0.42)			-1.6 (-20 to 16)			0.38 (-1.2 to 1.9)			-0.07 (-0.29 to 0.16)			0.24 (-0.27 to 0.76)
H3000’s	-0.35 (-0.97 to 0.27)			0.33 (-0.85 to 1.5)			-0.53 (-1.1 to 0.09)			-0.86 (-18 to 16)			-0.41 (-1.9 to 1.1)			-0.13 (-0.34 to 0.07)			0.09 (-0.39 to 0.57)
mean_MLexc_mean * group_char		0.34	0.34		0.059	0.22		0.70	0.70		0.99	0.99		0.79	0.79		0.054	0.072		0.12	0.17
mean_MLexc_mean * H2000’s	1.6 (-3.0 to 6.1)			4.9 (-1.6 to 11)			0.67 (-2.5 to 3.9)			-3.5 (-207 to 200)			1.3 (-15 to 17)			1.3 (0.12 to 2.5)			1.5 (0.06 to 2.9)
mean_MLexc_mean * H3000’s	3.2 (-1.2 to 7.6)			7.6 (1.3 to 14)			-0.45 (-3.5 to 2.6)			4.4 (-186 to 195)			4.7 (-11 to 20)			1.3 (0.17 to 2.5)			0.85 (-0.50 to 2.2)
subj_char.sd__(Intercept)	0.66 (NA to NA)			1.4 (NA to NA)			0.75 (NA to NA)			4.2 (NA to NA)			0.87 (NA to NA)			0.24 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.41 (NA to NA)			0.20 (NA to NA)			15 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0345, R2c: 0.8443

alpha_avg_power R2m: 0.1528, R2c: 0.9334

beta_avg_power R2m: 0.09, R2c: 0.9382

theta_div_beta R2m: 0.0134, R2c: 0.0859

log_theta_div_beta R2m: 0.026, R2c: 0.4128

aperiodic_exp R2m: 0.0154, R2c: 0.9122

aperiodic_offset R2m: 0.0496, R2c: 0.981

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in log_theta_div_beta for Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.94 (0.52 to 1.4)	<0.001	<0.001	0.65 (-0.17 to 1.5)	0.12	0.24	0.74 (0.30 to 1.2)	0.001	0.004	3.0 (-8.6 to 15)	0.61	0.81	1.4 (0.44 to 2.4)	0.004	0.017	1.0 (0.85 to 1.1)	<0.001	<0.001	-0.96 (-1.3 to -0.62)	<0.001	<0.001
mean_StepDur	-0.31 (-0.54 to -0.08)	0.008	0.017	-0.09 (-0.40 to 0.23)	0.59	0.59	0.06 (-0.10 to 0.22)	0.47	0.47	-0.61 (-12 to 11)	0.92	0.92	-0.45 (-1.3 to 0.40)	0.30	0.60	-0.05 (-0.11 to 0.02)	0.14	0.28	-0.05 (-0.13 to 0.02)	0.14	0.28
group_char		0.61	0.80		0.27	0.36		0.083	0.17		0.11	0.22		0.99	0.99		0.45	0.45		0.46	0.62
H1000’s	—			—			—			—			—			—			—
H2000’s	0.04 (-0.61 to 0.69)			0.88 (-0.38 to 2.1)			-0.37 (-1.0 to 0.30)			-21 (-40 to -1.4)			0.09 (-1.5 to 1.7)			0.00 (-0.22 to 0.22)			0.33 (-0.19 to 0.84)
H3000’s	-0.27 (-0.91 to 0.36)			-0.09 (-1.3 to 1.1)			-0.72 (-1.4 to -0.09)			-6.4 (-27 to 14)			-0.04 (-1.7 to 1.6)			-0.12 (-0.34 to 0.09)			0.15 (-0.33 to 0.63)
mean_StepDur * group_char		0.80	0.80		<0.001	<0.001		0.16	0.21		0.090	0.22		0.88	0.99		0.21	0.28		0.90	0.90
mean_StepDur * H2000’s	0.13 (-0.34 to 0.60)			0.79 (0.14 to 1.4)			0.27 (-0.07 to 0.61)			25 (2.6 to 48)			0.40 (-1.3 to 2.1)			0.04 (-0.09 to 0.17)			0.03 (-0.12 to 0.18)
mean_StepDur * H3000’s	0.14 (-0.40 to 0.68)			1.5 (0.81 to 2.3)			0.28 (-0.10 to 0.66)			9.1 (-16 to 35)			-0.12 (-2.1 to 1.8)			0.13 (-0.02 to 0.27)			-0.01 (-0.18 to 0.16)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.4 (NA to NA)			0.75 (NA to NA)			3.9 (NA to NA)			0.88 (NA to NA)			0.24 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.39 (NA to NA)			0.21 (NA to NA)			15 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0361, R2c: 0.8395

alpha_avg_power R2m: 0.1554, R2c: 0.9389

beta_avg_power R2m: 0.0865, R2c: 0.937

theta_div_beta R2m: 0.0424, R2c: 0.1062

log_theta_div_beta R2m: 0.0295, R2c: 0.423

aperiodic_exp R2m: 0.0122, R2c: 0.9097

aperiodic_offset R2m: 0.0483, R2c: 0.9803

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_exp for Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.85 (0.45 to 1.3)	<0.001	<0.001	0.70 (-0.12 to 1.5)	0.093	0.19	0.77 (0.34 to 1.2)	<0.001	0.002	0.93 (-9.1 to 11)	0.86	0.86	1.1 (0.23 to 2.0)	0.013	0.054	1.0 (0.86 to 1.1)	<0.001	<0.001	-0.95 (-1.3 to -0.61)	<0.001	<0.001
mean_UDexc_COV	-0.02 (-0.03 to 0.00)	0.036	0.071	-0.01 (-0.03 to 0.01)	0.36	0.36	0.00 (-0.01 to 0.01)	0.67	0.86	0.12 (-0.59 to 0.84)	0.73	0.86	-0.01 (-0.06 to 0.05)	0.76	0.76	0.00 (-0.01 to 0.00)	0.031	0.061	0.00 (-0.01 to 0.00)	0.033	0.065
group_char		0.48	0.57		0.17	0.23		0.18	0.35		0.49	0.86		0.40	0.76		0.61	0.61		0.44	0.59
H1000’s	—			—			—			—			—			—			—
H2000’s	0.12 (-0.49 to 0.74)			1.2 (-0.05 to 2.4)			-0.25 (-0.89 to 0.40)			-9.7 (-26 to 6.6)			0.78 (-0.61 to 2.2)			-0.01 (-0.22 to 0.21)			0.33 (-0.18 to 0.84)
H3000’s	-0.25 (-0.82 to 0.33)			0.51 (-0.63 to 1.6)			-0.57 (-1.2 to 0.03)			-2.0 (-17 to 13)			-0.17 (-1.5 to 1.1)			-0.09 (-0.29 to 0.11)			0.13 (-0.35 to 0.60)
mean_UDexc_COV * group_char		0.57	0.57		0.079	0.19		0.86	0.86		0.60	0.86		0.75	0.76		0.19	0.25		0.70	0.70
mean_UDexc_COV * H2000’s	0.01 (-0.02 to 0.03)			0.02 (-0.01 to 0.06)			0.00 (-0.01 to 0.02)			0.57 (-0.55 to 1.7)			-0.02 (-0.11 to 0.06)			0.00 (0.00 to 0.01)			0.00 (0.00 to 0.01)
mean_UDexc_COV * H3000’s	0.01 (-0.01 to 0.04)			0.04 (0.00 to 0.07)			0.00 (-0.02 to 0.02)			0.14 (-0.91 to 1.2)			0.01 (-0.07 to 0.09)			0.01 (0.00 to 0.01)			0.00 (0.00 to 0.01)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.4 (NA to NA)			0.74 (NA to NA)			4.4 (NA to NA)			0.88 (NA to NA)			0.25 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.43 (NA to NA)			0.21 (NA to NA)			15 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0336, R2c: 0.8354

alpha_avg_power R2m: 0.1498, R2c: 0.9282

beta_avg_power R2m: 0.0864, R2c: 0.9325

theta_div_beta R2m: 0.0211, R2c: 0.101

log_theta_div_beta R2m: 0.0273, R2c: 0.419

aperiodic_exp R2m: 0.0134, R2c: 0.9121

aperiodic_offset R2m: 0.0493, R2c: 0.9807

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_offset for Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.50 (0.08 to 0.92)	0.021	0.083	0.48 (-0.36 to 1.3)	0.27	0.35	0.94 (0.50 to 1.4)	<0.001	<0.001	5.3 (-6.7 to 17)	0.39	0.92	0.98 (-0.03 to 2.0)	0.057	0.23	0.88 (0.73 to 1.0)	<0.001	<0.001	-1.1 (-1.5 to -0.76)	<0.001	<0.001
mean_UDexc_mean	6.4 (-3.2 to 16)	0.19	0.38	4.0 (-10 to 18)	0.59	0.59	-6.1 (-13 to 0.71)	0.079	0.14	-118 (-579 to 343)	0.62	0.92	0.56 (-34 to 35)	0.98	0.98	2.9 (0.40 to 5.4)	0.023	0.047	3.9 (0.91 to 6.8)	0.010	0.021
group_char		0.78	0.78		0.014	0.057		0.10	0.14		0.92	0.92		0.69	0.98		0.59	0.59		0.25	0.25
H1000’s	—			—			—			—			—			—			—
H2000’s	0.08 (-0.54 to 0.70)			1.6 (0.38 to 2.8)			-0.20 (-0.85 to 0.44)			3.3 (-14 to 21)			0.59 (-0.88 to 2.0)			0.10 (-0.12 to 0.32)			0.43 (-0.08 to 0.94)
H3000’s	-0.13 (-0.72 to 0.46)			1.5 (0.31 to 2.6)			-0.64 (-1.3 to -0.04)			0.43 (-16 to 17)			0.05 (-1.4 to 1.5)			0.09 (-0.11 to 0.29)			0.24 (-0.23 to 0.71)
mean_UDexc_mean * group_char		0.77	0.78		0.19	0.35		0.69	0.69		0.77	0.92		0.98	0.98		0.040	0.053		0.20	0.25
mean_UDexc_mean * H2000’s	4.8 (-9.0 to 19)			-5.2 (-26 to 15)			0.93 (-9.1 to 11)			-216 (-889 to 457)			-4.8 (-56 to 46)			-2.5 (-6.2 to 1.2)			-2.9 (-7.2 to 1.4)
mean_UDexc_mean * H3000’s	1.0 (-13 to 15)			-18 (-39 to 1.8)			4.1 (-5.6 to 14)			-8.0 (-625 to 609)			-2.5 (-51 to 46)			-4.6 (-8.2 to -1.1)			-3.7 (-7.9 to 0.56)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.4 (NA to NA)			0.74 (NA to NA)			4.2 (NA to NA)			0.88 (NA to NA)			0.24 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.43 (NA to NA)			0.21 (NA to NA)			15 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0389, R2c: 0.837

alpha_avg_power R2m: 0.1497, R2c: 0.9264

beta_avg_power R2m: 0.0888, R2c: 0.934

theta_div_beta R2m: 0.0175, R2c: 0.0911

log_theta_div_beta R2m: 0.0238, R2c: 0.4125

aperiodic_exp R2m: 0.0154, R2c: 0.912

aperiodic_offset R2m: 0.0497, R2c: 0.9807

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.90 (0.50 to 1.3)	<0.001	<0.001	0.65 (-0.16 to 1.5)	0.11	0.23	0.75 (0.32 to 1.2)	<0.001	0.002	2.9 (-7.1 to 13)	0.57	0.76	1.3 (0.48 to 2.2)	0.002	0.009	0.99 (0.85 to 1.1)	<0.001	<0.001	-0.97 (-1.3 to -0.63)	<0.001	<0.001
mean_StanceDur	-0.19 (-0.33 to -0.06)	0.006	0.011	-0.06 (-0.25 to 0.13)	0.51	0.51	0.03 (-0.07 to 0.13)	0.51	0.51	-0.34 (-7.3 to 6.6)	0.92	0.92	-0.27 (-0.78 to 0.24)	0.30	0.60	-0.03 (-0.07 to 0.01)	0.12	0.25	-0.03 (-0.08 to 0.01)	0.13	0.26
group_char		0.54	0.69		0.23	0.31		0.084	0.17		0.13	0.27		0.92	0.94		0.51	0.51		0.44	0.59
H1000’s	—			—			—			—			—			—			—
H2000’s	0.05 (-0.56 to 0.66)			1.0 (-0.22 to 2.2)			-0.32 (-0.97 to 0.32)			-17 (-33 to -0.28)			0.26 (-1.1 to 1.6)			0.01 (-0.21 to 0.22)			0.33 (-0.18 to 0.84)
H3000’s	-0.27 (-0.86 to 0.31)			0.13 (-1.0 to 1.3)			-0.69 (-1.3 to -0.08)			-4.5 (-21 to 12)			-0.03 (-1.4 to 1.4)			-0.10 (-0.31 to 0.10)			0.14 (-0.33 to 0.62)
mean_StanceDur * group_char		0.69	0.69		<0.001	<0.001		0.16	0.21		0.11	0.27		0.94	0.94		0.20	0.27		0.90	0.90
mean_StanceDur * H2000’s	0.09 (-0.19 to 0.37)			0.46 (0.08 to 0.84)			0.15 (-0.05 to 0.35)			14 (0.89 to 28)			0.14 (-0.87 to 1.2)			0.03 (-0.05 to 0.10)			0.02 (-0.07 to 0.11)
mean_StanceDur * H3000’s	0.11 (-0.20 to 0.42)			0.91 (0.48 to 1.3)			0.17 (-0.05 to 0.39)			4.7 (-10 to 20)			-0.08 (-1.2 to 1.1)			0.07 (-0.01 to 0.16)			0.00 (-0.10 to 0.10)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.4 (NA to NA)			0.75 (NA to NA)			3.8 (NA to NA)			0.88 (NA to NA)			0.24 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.39 (NA to NA)			0.21 (NA to NA)			15 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0366, R2c: 0.8404

alpha_avg_power R2m: 0.1553, R2c: 0.9388

beta_avg_power R2m: 0.0866, R2c: 0.9364

theta_div_beta R2m: 0.0387, R2c: 0.1007

log_theta_div_beta R2m: 0.03, R2c: 0.4218

aperiodic_exp R2m: 0.0122, R2c: 0.91

aperiodic_offset R2m: 0.0484, R2c: 0.9803

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.94 (0.52 to 1.4)	<0.001	<0.001	0.65 (-0.17 to 1.5)	0.12	0.24	0.74 (0.30 to 1.2)	0.001	0.004	3.0 (-8.6 to 15)	0.61	0.81	1.4 (0.44 to 2.4)	0.004	0.017	1.0 (0.85 to 1.1)	<0.001	<0.001	-0.97 (-1.3 to -0.62)	<0.001	<0.001
mean_GaitCycleDur	-0.15 (-0.27 to -0.04)	0.008	0.017	-0.04 (-0.20 to 0.11)	0.59	0.59	0.03 (-0.05 to 0.11)	0.47	0.47	-0.30 (-6.0 to 5.4)	0.92	0.92	-0.22 (-0.65 to 0.20)	0.30	0.60	-0.02 (-0.05 to 0.01)	0.14	0.28	-0.03 (-0.06 to 0.01)	0.14	0.28
group_char		0.61	0.80		0.27	0.36		0.084	0.17		0.11	0.22		0.99	0.99		0.45	0.45		0.46	0.62
H1000’s	—			—			—			—			—			—			—
H2000’s	0.04 (-0.62 to 0.69)			0.88 (-0.38 to 2.1)			-0.37 (-1.0 to 0.30)			-21 (-40 to -1.4)			0.09 (-1.5 to 1.7)			0.00 (-0.22 to 0.22)			0.33 (-0.19 to 0.84)
H3000’s	-0.27 (-0.91 to 0.36)			-0.08 (-1.3 to 1.1)			-0.72 (-1.4 to -0.09)			-6.4 (-26 to 14)			-0.04 (-1.7 to 1.6)			-0.12 (-0.34 to 0.09)			0.15 (-0.33 to 0.63)
mean_GaitCycleDur * group_char		0.80	0.80		<0.001	<0.001		0.16	0.21		0.090	0.22		0.88	0.99		0.21	0.28		0.90	0.90
mean_GaitCycleDur * H2000’s	0.06 (-0.17 to 0.30)			0.39 (0.07 to 0.71)			0.13 (-0.03 to 0.30)			13 (1.3 to 24)			0.20 (-0.66 to 1.1)			0.02 (-0.04 to 0.08)			0.02 (-0.06 to 0.09)
mean_GaitCycleDur * H3000’s	0.07 (-0.20 to 0.34)			0.77 (0.40 to 1.1)			0.14 (-0.05 to 0.33)			4.5 (-8.2 to 17)			-0.06 (-1.0 to 0.91)			0.06 (-0.01 to 0.14)			0.00 (-0.09 to 0.08)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.4 (NA to NA)			0.75 (NA to NA)			3.9 (NA to NA)			0.88 (NA to NA)			0.24 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.39 (NA to NA)			0.21 (NA to NA)			15 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0361, R2c: 0.8396

alpha_avg_power R2m: 0.1553, R2c: 0.9389

beta_avg_power R2m: 0.0865, R2c: 0.937

theta_div_beta R2m: 0.0425, R2c: 0.1063

log_theta_div_beta R2m: 0.0295, R2c: 0.423

aperiodic_exp R2m: 0.0122, R2c: 0.9097

aperiodic_offset R2m: 0.0483, R2c: 0.9803

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.52 (0.12 to 0.91)	0.010	0.042	0.49 (-0.32 to 1.3)	0.23	0.31	0.87 (0.45 to 1.3)	<0.001	<0.001	3.5 (-6.3 to 13)	0.48	0.87	0.92 (0.08 to 1.8)	0.032	0.13	0.89 (0.75 to 1.0)	<0.001	<0.001	-1.1 (-1.4 to -0.75)	<0.001	<0.001
mean_PeakUpDownVel_mean	0.58 (-0.14 to 1.3)	0.11	0.23	0.34 (-0.71 to 1.4)	0.52	0.52	-0.32 (-0.84 to 0.19)	0.22	0.29	-4.4 (-40 to 32)	0.81	0.87	0.29 (-2.4 to 2.9)	0.83	0.94	0.26 (0.07 to 0.45)	0.006	0.012	0.32 (0.10 to 0.54)	0.005	0.009
group_char		0.70	0.90		0.009	0.034		0.13	0.25		0.87	0.87		0.65	0.94		0.61	0.61		0.26	0.26
H1000’s	—			—			—			—			—			—			—
H2000’s	0.12 (-0.46 to 0.71)			1.7 (0.46 to 2.8)			-0.12 (-0.75 to 0.51)			3.5 (-11 to 18)			0.58 (-0.67 to 1.8)			0.10 (-0.11 to 0.31)			0.42 (-0.08 to 0.93)
H3000’s	-0.12 (-0.67 to 0.42)			1.5 (0.36 to 2.6)			-0.58 (-1.2 to 0.01)			2.9 (-11 to 17)			0.16 (-1.0 to 1.4)			0.07 (-0.13 to 0.26)			0.21 (-0.26 to 0.68)
mean_PeakUpDownVel_mean * group_char		0.90	0.90		0.059	0.12		0.66	0.66		0.74	0.87		0.94	0.94		0.019	0.026		0.17	0.23
mean_PeakUpDownVel_mean * H2000’s	0.22 (-0.81 to 1.3)			-0.69 (-2.2 to 0.83)			-0.20 (-0.94 to 0.54)			-20 (-71 to 31)			-0.45 (-4.3 to 3.4)			-0.26 (-0.53 to 0.01)			-0.27 (-0.59 to 0.05)
mean_PeakUpDownVel_mean * H3000’s	0.03 (-0.98 to 1.0)			-1.8 (-3.3 to -0.30)			0.15 (-0.58 to 0.88)			-10 (-59 to 38)			-0.66 (-4.4 to 3.0)			-0.37 (-0.64 to -0.11)			-0.25 (-0.56 to 0.06)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.4 (NA to NA)			0.75 (NA to NA)			4.0 (NA to NA)			0.88 (NA to NA)			0.24 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.42 (NA to NA)			0.21 (NA to NA)			15 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0394, R2c: 0.8376

alpha_avg_power R2m: 0.1519, R2c: 0.9285

beta_avg_power R2m: 0.0881, R2c: 0.9349

theta_div_beta R2m: 0.0185, R2c: 0.0855

log_theta_div_beta R2m: 0.0242, R2c: 0.4124

aperiodic_exp R2m: 0.0159, R2c: 0.913

aperiodic_offset R2m: 0.0497, R2c: 0.9811

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_avg_power for Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.32 (-0.09 to 0.73)	0.13	0.26	1.4 (0.34 to 2.5)	0.010	0.029	0.80 (0.30 to 1.3)	0.002	0.007	0.62 (-14 to 15)	0.93	0.97	0.89 (-0.17 to 2.0)	0.10	0.14	1.1 (0.92 to 1.3)	<0.001	<0.001	-0.75 (-1.1 to -0.40)	<0.001	<0.001
mean_APexc_COV	0.02 (0.00 to 0.03)	0.067	0.26	0.01 (-0.02 to 0.05)	0.43	0.51	0.01 (-0.01 to 0.02)	0.46	0.60	0.01 (-0.80 to 0.83)	0.97	0.97	-0.01 (-0.07 to 0.04)	0.65	0.65	-0.01 (-0.01 to 0.00)	0.086	0.11	-0.01 (-0.01 to 0.00)	0.052	0.10
group_char		0.56	0.56		0.014	0.029		0.60	0.60		0.79	0.97		0.10	0.14		0.079	0.11		0.71	0.71
H1000’s	—			—			—			—			—			—			—
H2000’s	0.39 (-0.32 to 1.1)			2.4 (0.60 to 4.2)			0.26 (-0.57 to 1.1)			6.0 (-20 to 32)			-1.7 (-3.7 to 0.20)			-0.36 (-0.67 to -0.05)			-0.22 (-0.80 to 0.35)
H3000’s	0.16 (-0.42 to 0.75)			1.7 (0.22 to 3.2)			-0.17 (-0.87 to 0.54)			-3.1 (-24 to 17)			0.34 (-1.2 to 1.9)			-0.13 (-0.39 to 0.12)			-0.02 (-0.51 to 0.47)
mean_APexc_COV * group_char		0.27	0.37		0.51	0.51		0.47	0.60		0.97	0.97		0.007	0.030		0.59	0.59		0.45	0.60
mean_APexc_COV * H2000’s	-0.02 (-0.05 to 0.01)			-0.02 (-0.08 to 0.04)			-0.01 (-0.04 to 0.01)			-0.10 (-1.3 to 1.1)			0.13 (0.05 to 0.22)			0.00 (0.00 to 0.01)			0.00 (-0.01 to 0.01)
mean_APexc_COV * H3000’s	-0.01 (-0.03 to 0.01)			-0.03 (-0.07 to 0.02)			-0.01 (-0.02 to 0.01)			0.03 (-0.93 to 1.0)			0.03 (-0.04 to 0.09)			0.00 (0.00 to 0.01)			0.00 (0.00 to 0.01)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.8 (NA to NA)			0.91 (NA to NA)			8.7 (NA to NA)			1.0 (NA to NA)			0.32 (NA to NA)			0.70 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.54 (NA to NA)			0.22 (NA to NA)			13 (NA to NA)			0.87 (NA to NA)			0.09 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0076, R2c: 0.871

alpha_avg_power R2m: 0.1542, R2c: 0.9324

beta_avg_power R2m: 0.0201, R2c: 0.9483

theta_div_beta R2m: 0.0204, R2c: 0.3122

log_theta_div_beta R2m: 0.1553, R2c: 0.6412

aperiodic_exp R2m: 0.097, R2c: 0.9323

aperiodic_offset R2m: 0.014, R2c: 0.9819

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in alpha_avg_power for Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.46 (0.09 to 0.84)	0.015	0.058	1.3 (0.28 to 2.2)	0.011	0.046	0.75 (0.28 to 1.2)	0.002	0.007	1.2 (-11 to 13)	0.85	0.95	0.46 (-0.43 to 1.4)	0.31	0.42	1.1 (0.91 to 1.3)	<0.001	<0.001	-0.75 (-1.1 to -0.40)	<0.001	<0.001
mean_APexc_mean	1.9 (-2.0 to 5.9)	0.33	0.66	7.1 (-1.1 to 15)	0.088	0.13	2.5 (-0.81 to 5.8)	0.14	0.28	-6.3 (-212 to 199)	0.95	0.95	4.1 (-9.8 to 18)	0.56	0.56	-1.2 (-2.7 to 0.19)	0.088	0.12	-2.1 (-3.6 to -0.63)	0.005	0.010
group_char		0.85	0.85		0.10	0.13		0.45	0.48		0.86	0.95		0.020	0.039		0.019	0.038		0.62	0.73
H1000’s	—			—			—			—			—			—			—
H2000’s	0.17 (-0.44 to 0.79)			1.5 (-0.14 to 3.0)			-0.01 (-0.77 to 0.75)			-4.5 (-25 to 16)			-0.37 (-1.9 to 1.1)			-0.40 (-0.68 to -0.12)			-0.24 (-0.79 to 0.31)
H3000’s	0.09 (-0.43 to 0.61)			1.3 (-0.09 to 2.6)			-0.38 (-1.0 to 0.27)			0.87 (-16 to 17)			1.4 (0.20 to 2.7)			-0.17 (-0.41 to 0.07)			0.01 (-0.47 to 0.49)
mean_APexc_mean * group_char		0.64	0.85		0.13	0.13		0.48	0.48		0.47	0.95		0.006	0.026		0.24	0.24		0.73	0.73
mean_APexc_mean * H2000’s	-2.2 (-10 to 5.9)			17 (-0.13 to 34)			0.44 (-6.4 to 7.3)			198 (-220 to 616)			37 (8.0 to 65)			2.5 (-0.47 to 5.5)			1.2 (-1.8 to 4.3)
mean_APexc_mean * H3000’s	-2.8 (-9.0 to 3.4)			0.18 (-13 to 13)			3.2 (-2.1 to 8.4)			-71 (-383 to 240)			-12 (-33 to 9.8)			1.0 (-1.3 to 3.3)			0.28 (-2.1 to 2.6)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.8 (NA to NA)			0.91 (NA to NA)			8.6 (NA to NA)			0.94 (NA to NA)			0.32 (NA to NA)			0.70 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.52 (NA to NA)			0.21 (NA to NA)			13 (NA to NA)			0.89 (NA to NA)			0.09 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0049, R2c: 0.8675

alpha_avg_power R2m: 0.1615, R2c: 0.9375

beta_avg_power R2m: 0.0235, R2c: 0.9513

theta_div_beta R2m: 0.027, R2c: 0.312

log_theta_div_beta R2m: 0.1481, R2c: 0.5973

aperiodic_exp R2m: 0.0961, R2c: 0.9323

aperiodic_offset R2m: 0.0148, R2c: 0.983

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in beta_avg_power for Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.70 (0.28 to 1.1)	<0.001	0.004	2.1 (1.0 to 3.2)	<0.001	<0.001	1.0 (0.54 to 1.5)	<0.001	<0.001	0.14 (-13 to 13)	0.98	0.98	0.96 (-0.09 to 2.0)	0.073	0.15	1.1 (0.87 to 1.2)	<0.001	<0.001	-0.87 (-1.2 to -0.52)	<0.001	<0.001
mean_MLexc_COV	-0.01 (-0.03 to 0.01)	0.36	0.48	-0.03 (-0.07 to 0.01)	0.16	0.22	-0.01 (-0.03 to 0.01)	0.22	0.43	0.05 (-0.79 to 0.88)	0.91	0.98	-0.02 (-0.08 to 0.04)	0.54	0.54	0.00 (-0.01 to 0.00)	0.45	0.59	0.00 (-0.01 to 0.01)	0.81	0.81
group_char		0.81	0.81		0.15	0.22		0.63	0.71		0.26	0.98		0.31	0.41		0.070	0.14		0.68	0.81
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.20 (-0.82 to 0.42)			1.6 (-0.06 to 3.2)			-0.17 (-0.95 to 0.60)			5.1 (-15 to 25)			-0.26 (-1.8 to 1.3)			-0.33 (-0.62 to -0.05)			-0.22 (-0.77 to 0.34)
H3000’s	-0.08 (-0.64 to 0.48)			0.99 (-0.48 to 2.4)			-0.34 (-1.0 to 0.35)			-10 (-28 to 7.7)			0.81 (-0.60 to 2.2)			-0.15 (-0.41 to 0.10)			0.01 (-0.48 to 0.50)
mean_MLexc_COV * group_char		0.32	0.48		0.55	0.55		0.71	0.71		0.49	0.98		0.060	0.15		0.74	0.74		0.75	0.81
mean_MLexc_COV * H2000’s	0.02 (-0.01 to 0.05)			0.03 (-0.03 to 0.10)			0.01 (-0.01 to 0.03)			-0.09 (-1.4 to 1.2)			0.10 (0.01 to 0.20)			0.00 (-0.01 to 0.01)			0.00 (-0.01 to 0.02)
mean_MLexc_COV * H3000’s	0.00 (-0.02 to 0.03)			0.01 (-0.04 to 0.07)			0.00 (-0.02 to 0.03)			0.58 (-0.57 to 1.7)			0.01 (-0.08 to 0.09)			0.00 (-0.01 to 0.01)			0.00 (-0.01 to 0.01)
subj_char.sd__(Intercept)	0.63 (NA to NA)			1.8 (NA to NA)			0.92 (NA to NA)			8.9 (NA to NA)			0.98 (NA to NA)			0.32 (NA to NA)			0.70 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.54 (NA to NA)			0.21 (NA to NA)			13 (NA to NA)			0.90 (NA to NA)			0.09 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0072, R2c: 0.8686

alpha_avg_power R2m: 0.1558, R2c: 0.9329

beta_avg_power R2m: 0.0207, R2c: 0.949

theta_div_beta R2m: 0.0318, R2c: 0.3344

log_theta_div_beta R2m: 0.1289, R2c: 0.6046

aperiodic_exp R2m: 0.0946, R2c: 0.9311

aperiodic_offset R2m: 0.0137, R2c: 0.9817

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_div_beta for Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.44 (0.07 to 0.81)	0.019	0.077	1.2 (0.20 to 2.2)	0.018	0.047	0.69 (0.22 to 1.2)	0.004	0.017	1.5 (-9.6 to 13)	0.79	0.89	0.24 (-0.65 to 1.1)	0.59	0.74	1.1 (0.89 to 1.2)	<0.001	<0.001	-0.76 (-1.1 to -0.42)	<0.001	<0.001
mean_MLexc_mean	1.5 (-1.0 to 4.1)	0.24	0.47	5.5 (0.11 to 11)	0.045	0.060	2.4 (0.30 to 4.5)	0.025	0.050	-8.6 (-131 to 113)	0.89	0.89	5.3 (-3.7 to 14)	0.25	0.49	-0.57 (-1.5 to 0.38)	0.24	0.32	-1.2 (-2.2 to -0.23)	0.015	0.030
group_char		0.63	0.63		0.024	0.047		0.43	0.43		0.18	0.36		0.075	0.30		0.044	0.087		0.62	0.62
H1000’s	—			—			—			—			—			—			—
H2000’s	0.27 (-0.30 to 0.83)			2.1 (0.53 to 3.6)			0.12 (-0.63 to 0.86)			1.4 (-15 to 18)			1.3 (-0.04 to 2.6)			-0.34 (-0.61 to -0.07)			-0.22 (-0.76 to 0.32)
H3000’s	0.06 (-0.45 to 0.57)			1.3 (-0.06 to 2.7)			-0.33 (-0.98 to 0.33)			12 (-2.3 to 27)			1.3 (0.06 to 2.5)			-0.16 (-0.39 to 0.08)			0.04 (-0.44 to 0.51)
mean_MLexc_mean * group_char		0.35	0.47		0.88	0.88		0.21	0.28		0.017	0.067		0.74	0.74		0.50	0.50		0.49	0.62
mean_MLexc_mean * H2000’s	-2.5 (-5.9 to 0.88)			-0.41 (-7.5 to 6.7)			-1.8 (-4.5 to 1.0)			29 (-137 to 194)			-2.2 (-14 to 9.9)			0.73 (-0.53 to 2.0)			0.71 (-0.56 to 2.0)
mean_MLexc_mean * H3000’s	-1.4 (-4.6 to 1.9)			-1.6 (-8.5 to 5.3)			0.41 (-2.3 to 3.1)			-166 (-320 to -12)			-4.5 (-16 to 7.0)			0.57 (-0.64 to 1.8)			0.17 (-1.1 to 1.4)
subj_char.sd__(Intercept)	0.63 (NA to NA)			1.9 (NA to NA)			0.92 (NA to NA)			8.8 (NA to NA)			0.98 (NA to NA)			0.32 (NA to NA)			0.70 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.52 (NA to NA)			0.20 (NA to NA)			13 (NA to NA)			0.91 (NA to NA)			0.09 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0061, R2c: 0.8684

alpha_avg_power R2m: 0.1572, R2c: 0.9382

beta_avg_power R2m: 0.0257, R2c: 0.9547

theta_div_beta R2m: 0.0844, R2c: 0.38

log_theta_div_beta R2m: 0.1191, R2c: 0.5904

aperiodic_exp R2m: 0.095, R2c: 0.9314

aperiodic_offset R2m: 0.0156, R2c: 0.9829

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in log_theta_div_beta for Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.51 (0.15 to 0.86)	0.005	0.020	1.3 (0.32 to 2.2)	0.009	0.035	0.79 (0.33 to 1.3)	<0.001	0.003	1.6 (-8.8 to 12)	0.76	0.87	0.29 (-0.52 to 1.1)	0.49	0.49	1.1 (0.91 to 1.2)	<0.001	<0.001	-0.76 (-1.1 to -0.42)	<0.001	<0.001
mean_StepDur	0.07 (-0.12 to 0.26)	0.49	0.82	0.41 (0.02 to 0.81)	0.040	0.080	0.10 (-0.06 to 0.26)	0.21	0.21	-0.87 (-11 to 9.2)	0.87	0.87	0.43 (-0.26 to 1.1)	0.22	0.43	-0.07 (-0.14 to 0.00)	0.066	0.088	-0.11 (-0.18 to -0.04)	0.003	0.006
group_char		0.82	0.82		0.10	0.13		0.15	0.19		0.34	0.67		0.077	0.31		0.039	0.078		0.64	0.66
H1000’s	—			—			—			—			—			—			—
H2000’s	0.19 (-0.41 to 0.78)			1.7 (0.14 to 3.2)			0.02 (-0.73 to 0.77)			-1.7 (-21 to 17)			0.67 (-0.78 to 2.1)			-0.35 (-0.63 to -0.08)			-0.19 (-0.74 to 0.36)
H3000’s	0.05 (-0.47 to 0.58)			0.86 (-0.51 to 2.2)			-0.59 (-1.3 to 0.07)			12 (-5.6 to 29)			1.5 (0.20 to 2.8)			-0.18 (-0.43 to 0.06)			0.07 (-0.41 to 0.56)
mean_StepDur * group_char		0.67	0.82		0.21	0.21		0.015	0.030		0.10	0.39		0.32	0.43		0.37	0.37		0.66	0.66
mean_StepDur * H2000’s	-0.16 (-0.58 to 0.27)			0.60 (-0.28 to 1.5)			-0.03 (-0.38 to 0.32)			7.2 (-15 to 29)			0.68 (-0.85 to 2.2)			0.08 (-0.08 to 0.24)			0.01 (-0.15 to 0.17)
mean_StepDur * H3000’s	-0.14 (-0.56 to 0.28)			0.61 (-0.25 to 1.5)			0.49 (0.15 to 0.83)			-20 (-41 to 0.90)			-0.76 (-2.2 to 0.72)			0.09 (-0.06 to 0.24)			-0.07 (-0.22 to 0.09)
subj_char.sd__(Intercept)	0.63 (NA to NA)			1.8 (NA to NA)			0.91 (NA to NA)			8.4 (NA to NA)			0.97 (NA to NA)			0.32 (NA to NA)			0.71 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.51 (NA to NA)			0.20 (NA to NA)			13 (NA to NA)			0.90 (NA to NA)			0.09 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0049, R2c: 0.8674

alpha_avg_power R2m: 0.1616, R2c: 0.9386

beta_avg_power R2m: 0.0247, R2c: 0.9538

theta_div_beta R2m: 0.0439, R2c: 0.323

log_theta_div_beta R2m: 0.1235, R2c: 0.5941

aperiodic_exp R2m: 0.094, R2c: 0.9326

aperiodic_offset R2m: 0.0154, R2c: 0.9831

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_exp for Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.49 (0.16 to 0.83)	0.004	0.017	1.4 (0.43 to 2.3)	0.004	0.018	0.79 (0.33 to 1.2)	<0.001	0.003	1.1 (-8.0 to 10)	0.81	0.95	0.41 (-0.31 to 1.1)	0.27	0.30	1.1 (0.89 to 1.2)	<0.001	<0.001	-0.79 (-1.1 to -0.45)	<0.001	<0.001
mean_UDexc_COV	0.01 (-0.01 to 0.02)	0.31	0.42	0.02 (0.00 to 0.05)	0.076	0.10	0.01 (0.00 to 0.02)	0.10	0.13	-0.02 (-0.61 to 0.57)	0.95	0.95	0.02 (-0.02 to 0.06)	0.30	0.30	0.00 (-0.01 to 0.00)	0.13	0.18	-0.01 (-0.01 to 0.00)	0.006	0.011
group_char		0.63	0.63		0.027	0.054		0.25	0.25		0.84	0.95		0.065	0.20		0.060	0.12		0.67	0.72
H1000’s	—			—			—			—			—			—			—
H2000’s	0.25 (-0.30 to 0.79)			2.0 (0.53 to 3.5)			0.14 (-0.59 to 0.87)			2.4 (-13 to 17)			0.50 (-0.68 to 1.7)			-0.31 (-0.57 to -0.05)			-0.16 (-0.70 to 0.38)
H3000’s	0.02 (-0.47 to 0.51)			1.1 (-0.27 to 2.4)			-0.42 (-1.1 to 0.22)			4.2 (-9.8 to 18)			1.3 (0.21 to 2.4)			-0.14 (-0.37 to 0.09)			0.08 (-0.39 to 0.56)
mean_UDexc_COV * group_char		0.29	0.42		0.91	0.91		0.028	0.057		0.48	0.95		0.10	0.20		0.66	0.66		0.72	0.72
mean_UDexc_COV * H2000’s	-0.01 (-0.03 to 0.00)			0.00 (-0.04 to 0.04)			-0.01 (-0.03 to 0.00)			0.11 (-0.85 to 1.1)			0.05 (-0.02 to 0.11)			0.00 (0.00 to 0.01)			0.00 (-0.01 to 0.01)
mean_UDexc_COV * H3000’s	-0.01 (-0.02 to 0.01)			0.01 (-0.03 to 0.05)			0.01 (0.00 to 0.02)			-0.46 (-1.4 to 0.45)			-0.03 (-0.09 to 0.03)			0.00 (0.00 to 0.01)			0.00 (-0.01 to 0.00)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.9 (NA to NA)			0.92 (NA to NA)			8.8 (NA to NA)			0.98 (NA to NA)			0.32 (NA to NA)			0.70 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.52 (NA to NA)			0.21 (NA to NA)			13 (NA to NA)			0.89 (NA to NA)			0.09 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.006, R2c: 0.8692

alpha_avg_power R2m: 0.1548, R2c: 0.9376

beta_avg_power R2m: 0.0233, R2c: 0.953

theta_div_beta R2m: 0.0287, R2c: 0.3237

log_theta_div_beta R2m: 0.1318, R2c: 0.6057

aperiodic_exp R2m: 0.0953, R2c: 0.9316

aperiodic_offset R2m: 0.0158, R2c: 0.9839

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_offset for Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.66 (0.30 to 1.0)	<0.001	0.001	1.9 (0.98 to 2.9)	<0.001	<0.001	1.1 (0.61 to 1.5)	<0.001	<0.001	-0.08 (-11 to 11)	0.99	0.99	1.1 (0.27 to 1.9)	0.010	0.039	0.97 (0.80 to 1.1)	<0.001	<0.001	-0.95 (-1.3 to -0.61)	<0.001	<0.001
mean_UDexc_mean	-4.1 (-12 to 4.0)	0.33	0.43	-13 (-31 to 4.1)	0.13	0.18	-8.3 (-15 to -1.6)	0.015	0.020	41 (-385 to 468)	0.85	0.99	-19 (-48 to 10)	0.21	0.22	2.0 (-1.0 to 5.0)	0.19	0.30	4.0 (0.96 to 7.0)	0.010	0.020
group_char		0.72	0.72		0.027	0.055		0.68	0.68		0.31	0.99		0.11	0.22		0.22	0.30		0.80	0.84
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.21 (-0.77 to 0.35)			2.0 (0.45 to 3.5)			-0.31 (-1.0 to 0.42)			4.9 (-11 to 21)			1.3 (0.06 to 2.6)			-0.23 (-0.49 to 0.04)			-0.14 (-0.68 to 0.40)
H3000’s	-0.16 (-0.66 to 0.34)			1.3 (-0.04 to 2.7)			-0.21 (-0.85 to 0.44)			-7.3 (-22 to 7.9)			0.34 (-0.83 to 1.5)			-0.05 (-0.28 to 0.19)			0.04 (-0.43 to 0.52)
mean_UDexc_mean * group_char		0.15	0.29		0.80	0.80		0.003	0.006		0.64	0.99		0.22	0.22		0.38	0.38		0.84	0.84
mean_UDexc_mean * H2000’s	11 (-0.06 to 22)			5.1 (-19 to 29)			13 (3.2 to 22)			-47 (-640 to 547)			-7.3 (-48 to 33)			-2.4 (-6.5 to 1.8)			-1.2 (-5.4 to 3.0)
mean_UDexc_mean * H3000’s	4.7 (-5.9 to 15)			-2.4 (-25 to 21)			-1.5 (-10 to 7.2)			195 (-358 to 747)			24 (-14 to 62)			-2.7 (-6.6 to 1.3)			-0.35 (-4.3 to 3.6)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.8 (NA to NA)			0.92 (NA to NA)			8.7 (NA to NA)			0.99 (NA to NA)			0.32 (NA to NA)			0.70 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.53 (NA to NA)			0.20 (NA to NA)			13 (NA to NA)			0.90 (NA to NA)			0.09 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0074, R2c: 0.8714

alpha_avg_power R2m: 0.1575, R2c: 0.9348

beta_avg_power R2m: 0.025, R2c: 0.9546

theta_div_beta R2m: 0.0282, R2c: 0.3187

log_theta_div_beta R2m: 0.1251, R2c: 0.6025

aperiodic_exp R2m: 0.0953, R2c: 0.9313

aperiodic_offset R2m: 0.0152, R2c: 0.9836

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.51 (0.17 to 0.85)	0.003	0.012	1.3 (0.42 to 2.3)	0.004	0.018	0.81 (0.36 to 1.3)	<0.001	0.002	1.5 (-7.6 to 11)	0.74	0.86	0.38 (-0.35 to 1.1)	0.31	0.37	1.1 (0.90 to 1.2)	<0.001	<0.001	-0.78 (-1.1 to -0.44)	<0.001	<0.001
mean_StanceDur	0.05 (-0.07 to 0.16)	0.44	0.82	0.24 (0.00 to 0.48)	0.045	0.082	0.06 (-0.03 to 0.16)	0.20	0.20	-0.54 (-6.6 to 5.5)	0.86	0.86	0.24 (-0.17 to 0.66)	0.25	0.37	-0.04 (-0.08 to 0.00)	0.056	0.075	-0.07 (-0.11 to -0.02)	0.002	0.005
group_char		0.84	0.84		0.062	0.082		0.19	0.20		0.48	0.86		0.064	0.26		0.042	0.075		0.64	0.64
H1000’s	—			—			—			—			—			—			—
H2000’s	0.17 (-0.39 to 0.72)			1.8 (0.28 to 3.3)			0.03 (-0.70 to 0.76)			0.10 (-16 to 16)			0.77 (-0.49 to 2.0)			-0.34 (-0.60 to -0.07)			-0.19 (-0.74 to 0.35)
H3000’s	0.05 (-0.45 to 0.54)			0.93 (-0.40 to 2.2)			-0.53 (-1.2 to 0.11)			8.5 (-6.1 to 23)			1.3 (0.21 to 2.5)			-0.17 (-0.40 to 0.06)			0.07 (-0.41 to 0.55)
mean_StanceDur * group_char		0.62	0.82		0.21	0.21		0.011	0.022		0.13	0.51		0.37	0.37		0.38	0.38		0.62	0.64
mean_StanceDur * H2000’s	-0.10 (-0.35 to 0.15)			0.35 (-0.17 to 0.87)			-0.04 (-0.24 to 0.17)			3.6 (-9.6 to 17)			0.39 (-0.52 to 1.3)			0.05 (-0.05 to 0.14)			0.01 (-0.08 to 0.11)
mean_StanceDur * H3000’s	-0.09 (-0.34 to 0.15)			0.37 (-0.14 to 0.87)			0.29 (0.09 to 0.49)			-12 (-24 to 1.1)			-0.41 (-1.3 to 0.47)			0.05 (-0.04 to 0.14)			-0.04 (-0.13 to 0.05)
subj_char.sd__(Intercept)	0.63 (NA to NA)			1.8 (NA to NA)			0.91 (NA to NA)			8.5 (NA to NA)			0.98 (NA to NA)			0.32 (NA to NA)			0.71 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.51 (NA to NA)			0.20 (NA to NA)			13 (NA to NA)			0.90 (NA to NA)			0.09 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.005, R2c: 0.8673

alpha_avg_power R2m: 0.161, R2c: 0.9387

beta_avg_power R2m: 0.0244, R2c: 0.954

theta_div_beta R2m: 0.0405, R2c: 0.3205

log_theta_div_beta R2m: 0.1219, R2c: 0.5954

aperiodic_exp R2m: 0.094, R2c: 0.9327

aperiodic_offset R2m: 0.0153, R2c: 0.9831

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.51 (0.15 to 0.86)	0.005	0.020	1.3 (0.32 to 2.2)	0.009	0.035	0.79 (0.33 to 1.3)	<0.001	0.003	1.6 (-8.8 to 12)	0.76	0.87	0.29 (-0.52 to 1.1)	0.49	0.49	1.1 (0.91 to 1.2)	<0.001	<0.001	-0.76 (-1.1 to -0.42)	<0.001	<0.001
mean_GaitCycleDur	0.03 (-0.06 to 0.13)	0.49	0.83	0.21 (0.01 to 0.41)	0.040	0.080	0.05 (-0.03 to 0.13)	0.21	0.21	-0.43 (-5.5 to 4.6)	0.87	0.87	0.21 (-0.13 to 0.56)	0.23	0.43	-0.03 (-0.07 to 0.00)	0.065	0.087	-0.06 (-0.09 to -0.02)	0.003	0.005
group_char		0.83	0.83		0.095	0.13		0.15	0.20		0.34	0.67		0.078	0.31		0.039	0.078		0.64	0.67
H1000’s	—			—			—			—			—			—			—
H2000’s	0.19 (-0.41 to 0.78)			1.7 (0.14 to 3.2)			0.02 (-0.73 to 0.77)			-1.7 (-21 to 17)			0.66 (-0.78 to 2.1)			-0.35 (-0.63 to -0.08)			-0.19 (-0.74 to 0.36)
H3000’s	0.06 (-0.47 to 0.58)			0.87 (-0.51 to 2.2)			-0.59 (-1.2 to 0.07)			12 (-5.6 to 29)			1.5 (0.20 to 2.8)			-0.19 (-0.43 to 0.06)			0.07 (-0.41 to 0.55)
mean_GaitCycleDur * group_char		0.67	0.83		0.22	0.22		0.016	0.031		0.10	0.39		0.32	0.43		0.37	0.37		0.67	0.67
mean_GaitCycleDur * H2000’s	-0.08 (-0.29 to 0.13)			0.30 (-0.14 to 0.74)			-0.02 (-0.19 to 0.16)			3.6 (-7.5 to 15)			0.34 (-0.42 to 1.1)			0.04 (-0.04 to 0.12)			0.01 (-0.07 to 0.09)
mean_GaitCycleDur * H3000’s	-0.07 (-0.28 to 0.14)			0.30 (-0.13 to 0.73)			0.24 (0.07 to 0.41)			-10 (-21 to 0.45)			-0.38 (-1.1 to 0.36)			0.05 (-0.03 to 0.12)			-0.03 (-0.11 to 0.05)
subj_char.sd__(Intercept)	0.63 (NA to NA)			1.8 (NA to NA)			0.91 (NA to NA)			8.4 (NA to NA)			0.97 (NA to NA)			0.32 (NA to NA)			0.71 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.51 (NA to NA)			0.20 (NA to NA)			13 (NA to NA)			0.90 (NA to NA)			0.09 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0049, R2c: 0.8674

alpha_avg_power R2m: 0.1616, R2c: 0.9386

beta_avg_power R2m: 0.0247, R2c: 0.9537

theta_div_beta R2m: 0.0439, R2c: 0.3229

log_theta_div_beta R2m: 0.1236, R2c: 0.5941

aperiodic_exp R2m: 0.094, R2c: 0.9326

aperiodic_offset R2m: 0.0154, R2c: 0.9831

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.65 (0.32 to 0.99)	<0.001	<0.001	1.9 (0.95 to 2.8)	<0.001	<0.001	1.0 (0.55 to 1.5)	<0.001	<0.001	0.26 (-8.4 to 8.9)	0.95	0.95	0.93 (0.24 to 1.6)	0.009	0.035	0.98 (0.82 to 1.1)	<0.001	<0.001	-0.93 (-1.3 to -0.59)	<0.001	<0.001
mean_PeakUpDownVel_mean	-0.36 (-0.93 to 0.20)	0.21	0.28	-1.0 (-2.2 to 0.19)	0.10	0.13	-0.49 (-0.96 to -0.02)	0.040	0.053	2.6 (-28 to 33)	0.87	0.95	-1.1 (-3.2 to 0.95)	0.29	0.29	0.16 (-0.05 to 0.37)	0.14	0.26	0.31 (0.10 to 0.52)	0.004	0.008
group_char		0.74	0.74		0.014	0.029		0.82	0.82		0.094	0.38		0.050	0.10		0.21	0.26		0.79	0.79
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.16 (-0.69 to 0.38)			2.1 (0.63 to 3.6)			-0.18 (-0.90 to 0.54)			6.8 (-6.7 to 20)			1.4 (0.27 to 2.5)			-0.23 (-0.48 to 0.03)			-0.14 (-0.68 to 0.40)
H3000’s	-0.17 (-0.64 to 0.30)			1.3 (0.01 to 2.6)			-0.19 (-0.82 to 0.44)			-7.9 (-20 to 4.2)			0.50 (-0.49 to 1.5)			-0.06 (-0.29 to 0.16)			0.04 (-0.43 to 0.52)
mean_PeakUpDownVel_mean * group_char		0.11	0.23		0.96	0.96		0.017	0.034		0.26	0.53		0.19	0.25		0.26	0.26		0.70	0.79
mean_PeakUpDownVel_mean * H2000’s	0.86 (0.05 to 1.7)			0.04 (-1.7 to 1.8)			0.67 (0.00 to 1.3)			-12 (-55 to 32)			-0.88 (-3.8 to 2.1)			-0.22 (-0.53 to 0.08)			-0.13 (-0.43 to 0.18)
mean_PeakUpDownVel_mean * H3000’s	0.49 (-0.25 to 1.2)			-0.17 (-1.8 to 1.4)			-0.23 (-0.85 to 0.38)			20 (-19 to 60)			1.6 (-1.1 to 4.3)			-0.20 (-0.48 to 0.07)			-0.04 (-0.32 to 0.23)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.8 (NA to NA)			0.92 (NA to NA)			8.5 (NA to NA)			0.98 (NA to NA)			0.32 (NA to NA)			0.70 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.53 (NA to NA)			0.20 (NA to NA)			13 (NA to NA)			0.90 (NA to NA)			0.09 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0076, R2c: 0.8714

alpha_avg_power R2m: 0.1589, R2c: 0.9356

beta_avg_power R2m: 0.0244, R2c: 0.9539

theta_div_beta R2m: 0.0361, R2c: 0.3155

log_theta_div_beta R2m: 0.1248, R2c: 0.5977

aperiodic_exp R2m: 0.0956, R2c: 0.9316

aperiodic_offset R2m: 0.0153, R2c: 0.9837

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_avg_power for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.3 (0.82 to 1.8)	<0.001	<0.001	1.2 (0.39 to 1.9)	0.003	0.013	0.70 (0.17 to 1.2)	0.010	0.039	4.0 (-7.3 to 15)	0.49	0.75	0.63 (-0.62 to 1.9)	0.32	0.89	1.1 (0.99 to 1.3)	<0.001	<0.001	-0.71 (-1.1 to -0.35)	<0.001	<0.001
mean_APexc_COV	-0.01 (-0.03 to 0.01)	0.44	0.58	0.01 (-0.03 to 0.04)	0.70	0.88	0.00 (-0.01 to 0.02)	0.77	0.77	-0.11 (-0.80 to 0.58)	0.75	0.75	0.00 (-0.08 to 0.07)	0.90	0.90	0.00 (-0.01 to 0.00)	0.66	0.75	0.00 (-0.01 to 0.01)	0.75	0.75
group_char		0.19	0.39		0.88	0.88		0.088	0.18		0.67	0.75		0.45	0.89		0.15	0.29		0.13	0.26
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.58 (-1.3 to 0.15)			0.30 (-0.90 to 1.5)			0.82 (0.03 to 1.6)			3.3 (-14 to 20)			0.70 (-1.3 to 2.7)			-0.17 (-0.39 to 0.05)			-0.41 (-0.93 to 0.12)
H3000’s	-0.55 (-1.3 to 0.15)			0.08 (-1.1 to 1.2)			0.66 (-0.11 to 1.4)			-4.4 (-20 to 11)			1.2 (-0.66 to 3.0)			0.05 (-0.17 to 0.27)			0.13 (-0.40 to 0.65)
mean_APexc_COV * group_char		0.95	0.95		0.32	0.63		0.32	0.43		0.49	0.75		0.74	0.90		0.75	0.75		0.69	0.75
mean_APexc_COV * H2000’s	0.00 (-0.03 to 0.02)			-0.02 (-0.06 to 0.03)			-0.01 (-0.03 to 0.01)			-0.23 (-1.1 to 0.66)			0.03 (-0.07 to 0.13)			0.00 (-0.01 to 0.01)			0.00 (-0.01 to 0.01)
mean_APexc_COV * H3000’s	0.00 (-0.02 to 0.02)			0.01 (-0.03 to 0.05)			0.00 (-0.02 to 0.02)			0.19 (-0.61 to 0.98)			0.00 (-0.09 to 0.08)			0.00 (-0.01 to 0.00)			0.00 (-0.01 to 0.01)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)			0.96 (NA to NA)			0.30 (NA to NA)			0.80 (NA to NA)
Residual.sd__Observation	0.30 (NA to NA)			0.52 (NA to NA)			0.25 (NA to NA)			13 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1241, R2c: 0.9008

alpha_avg_power R2m: 0.0357, R2c: 0.8606

beta_avg_power R2m: 0.0887, R2c: 0.95

theta_div_beta R2m: 0.0136, R2c: 0.0136

log_theta_div_beta R2m: 0.1276, R2c: 0.4792

aperiodic_exp R2m: 0.0558, R2c: 0.948

aperiodic_offset R2m: 0.059, R2c: 0.9866

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in alpha_avg_power for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.6 (1.1 to 2.0)	<0.001	<0.001	1.0 (0.36 to 1.7)	0.003	0.012	0.60 (0.11 to 1.1)	0.016	0.031	2.7 (-7.5 to 13)	0.61	0.81	0.66 (-0.42 to 1.7)	0.23	0.83	1.1 (1.0 to 1.3)	<0.001	<0.001	-0.70 (-1.1 to -0.35)	<0.001	<0.001
mean_APexc_mean	-7.3 (-12 to -2.8)	0.001	0.003	4.1 (-3.7 to 12)	0.30	0.30	2.4 (-1.2 to 6.1)	0.19	0.26	-9.0 (-191 to 173)	0.92	0.92	-2.0 (-20 to 16)	0.83	0.83	-0.41 (-1.5 to 0.71)	0.47	0.63	-0.59 (-2.1 to 0.92)	0.44	0.59
group_char		0.008	0.010		0.28	0.30		0.26	0.26		0.046	0.16		0.50	0.83		0.18	0.35		0.15	0.29
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.92 (-1.6 to -0.27)			-0.65 (-1.7 to 0.38)			0.13 (-0.59 to 0.85)			-15 (-30 to -0.15)			0.95 (-0.69 to 2.6)			-0.17 (-0.38 to 0.04)			-0.41 (-0.93 to 0.10)
H3000’s	-0.82 (-1.4 to -0.20)			0.15 (-0.83 to 1.1)			0.57 (-0.13 to 1.3)			1.1 (-12 to 14)			0.63 (-0.82 to 2.1)			0.01 (-0.19 to 0.21)			0.07 (-0.44 to 0.58)
mean_APexc_mean * group_char		0.74	0.74		0.070	0.14		0.003	0.012		0.079	0.16		0.74	0.83		0.94	0.94		0.77	0.77
mean_APexc_mean * H2000’s	3.1 (-4.9 to 11)			15 (0.91 to 29)			11 (4.3 to 18)			289 (-16 to 593)			7.5 (-24 to 39)			0.33 (-1.7 to 2.3)			0.00 (-2.7 to 2.7)
mean_APexc_mean * H3000’s	1.4 (-5.9 to 8.8)			11 (-2.2 to 23)			6.2 (0.21 to 12)			-47 (-303 to 208)			11 (-17 to 38)			-0.06 (-1.9 to 1.8)			-0.88 (-3.4 to 1.6)
subj_char.sd__(Intercept)	0.84 (NA to NA)			1.2 (NA to NA)			1.0 (NA to NA)			0.00 (NA to NA)			0.96 (NA to NA)			0.29 (NA to NA)			0.80 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.50 (NA to NA)			0.23 (NA to NA)			13 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1281, R2c: 0.9088

alpha_avg_power R2m: 0.0509, R2c: 0.8691

beta_avg_power R2m: 0.1012, R2c: 0.957

theta_div_beta R2m: 0.0291, R2c: 0.0291

log_theta_div_beta R2m: 0.1287, R2c: 0.4776

aperiodic_exp R2m: 0.0559, R2c: 0.9472

aperiodic_offset R2m: 0.0595, R2c: 0.9864

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in beta_avg_power for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.80 (0.33 to 1.3)	<0.001	0.003	1.2 (0.47 to 2.0)	0.001	0.003	0.71 (0.19 to 1.2)	0.007	0.030	3.7 (-5.7 to 13)	0.44	0.84	0.05 (-1.1 to 1.2)	0.94	0.94	1.1 (0.94 to 1.2)	<0.001	<0.001	-0.78 (-1.1 to -0.43)	<0.001	<0.001
mean_MLexc_COV	0.03 (0.01 to 0.05)	0.012	0.024	0.00 (-0.03 to 0.04)	0.82	0.82	0.00 (-0.02 to 0.02)	0.84	0.84	-0.11 (-0.75 to 0.53)	0.74	0.84	0.04 (-0.04 to 0.11)	0.34	0.68	0.00 (0.00 to 0.01)	0.34	0.36	0.00 (0.00 to 0.01)	0.28	0.38
group_char		0.34	0.34		0.56	0.75		0.051	0.10		0.84	0.84		0.022	0.090		0.081	0.16		0.15	0.30
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.38 (-1.0 to 0.25)			0.25 (-0.75 to 1.2)			0.83 (0.11 to 1.6)			-0.89 (-14 to 12)			2.0 (0.57 to 3.5)			-0.18 (-0.38 to 0.02)			-0.42 (-0.93 to 0.09)
H3000’s	-0.45 (-1.1 to 0.20)			-0.30 (-1.3 to 0.75)			0.74 (-0.01 to 1.5)			-4.1 (-18 to 10)			1.5 (-0.10 to 3.1)			0.04 (-0.17 to 0.25)			0.05 (-0.47 to 0.56)
mean_MLexc_COV * group_char		0.21	0.28		0.001	0.003		0.080	0.11		0.73	0.84		0.53	0.70		0.36	0.36		0.95	0.95
mean_MLexc_COV * H2000’s	-0.02 (-0.05 to 0.00)			-0.02 (-0.06 to 0.02)			-0.02 (-0.04 to 0.00)			-0.12 (-0.98 to 0.74)			-0.05 (-0.15 to 0.04)			0.00 (0.00 to 0.01)			0.00 (-0.01 to 0.01)
mean_MLexc_COV * H3000’s	-0.02 (-0.04 to 0.01)			0.05 (0.01 to 0.10)			0.00 (-0.02 to 0.03)			0.24 (-0.69 to 1.2)			-0.03 (-0.13 to 0.07)			0.00 (-0.01 to 0.00)			0.00 (-0.01 to 0.01)
subj_char.sd__(Intercept)	0.82 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)			0.96 (NA to NA)			0.29 (NA to NA)			0.80 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.51 (NA to NA)			0.25 (NA to NA)			13 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1291, R2c: 0.9013

alpha_avg_power R2m: 0.044, R2c: 0.8667

beta_avg_power R2m: 0.0897, R2c: 0.9511

theta_div_beta R2m: 0.0104, R2c: 0.0104

log_theta_div_beta R2m: 0.1301, R2c: 0.4789

aperiodic_exp R2m: 0.0577, R2c: 0.9492

aperiodic_offset R2m: 0.0596, R2c: 0.9867

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_div_beta for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.6 (1.2 to 2.0)	<0.001	<0.001	1.2 (0.49 to 1.8)	<0.001	0.003	0.59 (0.11 to 1.1)	0.017	0.068	3.1 (-5.7 to 12)	0.49	0.66	0.89 (-0.09 to 1.9)	0.074	0.29	1.2 (1.0 to 1.3)	<0.001	<0.001	-0.67 (-1.0 to -0.32)	<0.001	<0.001
mean_MLexc_mean	-5.2 (-7.8 to -2.6)	<0.001	<0.001	1.2 (-3.6 to 6.0)	0.61	0.61	1.7 (-0.53 to 4.0)	0.13	0.19	-11 (-114 to 92)	0.83	0.83	-4.2 (-15 to 6.3)	0.43	0.58	-0.46 (-1.1 to 0.20)	0.18	0.35	-0.68 (-1.6 to 0.22)	0.14	0.23
group_char		0.003	0.003		0.34	0.61		0.14	0.19		0.22	0.66		0.35	0.58		0.30	0.40		0.17	0.23
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.99 (-1.6 to -0.40)			-0.33 (-1.3 to 0.61)			0.43 (-0.27 to 1.1)			-8.8 (-20 to 2.6)			0.96 (-0.34 to 2.3)			-0.15 (-0.34 to 0.05)			-0.41 (-0.91 to 0.10)
H3000’s	-0.78 (-1.4 to -0.18)			0.38 (-0.58 to 1.3)			0.70 (0.00 to 1.4)			-1.0 (-12 to 10)			0.62 (-0.71 to 2.0)			-0.02 (-0.22 to 0.17)			0.04 (-0.47 to 0.54)
mean_MLexc_mean * group_char		0.067	0.067		0.60	0.61		0.56	0.56		0.40	0.66		0.73	0.73		0.49	0.49		0.99	0.99
mean_MLexc_mean * H2000’s	3.7 (0.47 to 6.9)			3.0 (-2.9 to 9.0)			1.5 (-1.3 to 4.3)			71 (-56 to 197)			4.1 (-8.9 to 17)			-0.01 (-0.83 to 0.82)			0.04 (-1.1 to 1.2)
mean_MLexc_mean * H3000’s	1.6 (-2.0 to 5.1)			1.6 (-4.9 to 8.1)			0.99 (-2.1 to 4.0)			5.4 (-126 to 137)			5.5 (-8.4 to 19)			0.44 (-0.46 to 1.3)			0.09 (-1.1 to 1.3)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)			0.96 (NA to NA)			0.29 (NA to NA)			0.80 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.52 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1349, R2c: 0.9131

alpha_avg_power R2m: 0.0387, R2c: 0.8615

beta_avg_power R2m: 0.095, R2c: 0.9553

theta_div_beta R2m: 0.0174, R2c: 0.0174

log_theta_div_beta R2m: 0.1278, R2c: 0.4768

aperiodic_exp R2m: 0.0573, R2c: 0.9483

aperiodic_offset R2m: 0.0599, R2c: 0.9868

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in log_theta_div_beta for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.5 (1.1 to 1.9)	<0.001	<0.001	1.1 (0.46 to 1.7)	<0.001	0.003	0.61 (0.13 to 1.1)	0.012	0.024	1.8 (-6.5 to 10)	0.67	0.89	0.69 (-0.18 to 1.6)	0.12	0.47	1.1 (1.0 to 1.3)	<0.001	<0.001	-0.71 (-1.1 to -0.36)	<0.001	<0.001
mean_StepDur	-0.41 (-0.60 to -0.22)	<0.001	<0.001	0.19 (-0.16 to 0.54)	0.30	0.40	0.14 (-0.02 to 0.30)	0.093	0.12	0.42 (-8.2 to 9.1)	0.92	0.92	-0.16 (-0.96 to 0.65)	0.70	0.70	-0.02 (-0.07 to 0.03)	0.52	0.52	-0.03 (-0.09 to 0.04)	0.44	0.44
group_char		0.015	0.020		0.56	0.56		0.43	0.43		0.18	0.56		0.52	0.70		0.50	0.52		0.21	0.43
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.89 (-1.5 to -0.29)			-0.46 (-1.4 to 0.51)			0.24 (-0.46 to 0.95)			-11 (-25 to 2.3)			0.83 (-0.60 to 2.3)			-0.11 (-0.31 to 0.09)			-0.35 (-0.86 to 0.16)
H3000’s	-0.47 (-1.1 to 0.17)			0.06 (-0.99 to 1.1)			0.48 (-0.25 to 1.2)			2.2 (-13 to 17)			0.35 (-1.3 to 2.0)			0.00 (-0.21 to 0.20)			0.10 (-0.42 to 0.61)
mean_StepDur * group_char		0.12	0.12		0.11	0.22		0.003	0.013		0.28	0.56		0.53	0.70		0.45	0.52		0.36	0.44
mean_StepDur * H2000’s	0.17 (-0.20 to 0.54)			0.59 (-0.10 to 1.3)			0.48 (0.16 to 0.80)			12 (-4.5 to 28)			0.58 (-0.98 to 2.1)			-0.06 (-0.15 to 0.04)			-0.08 (-0.21 to 0.05)
mean_StepDur * H3000’s	-0.45 (-0.98 to 0.08)			0.77 (-0.21 to 1.7)			0.52 (0.06 to 0.97)			-4.1 (-24 to 16)			1.1 (-1.1 to 3.2)			0.02 (-0.12 to 0.15)			-0.09 (-0.28 to 0.10)
subj_char.sd__(Intercept)	0.84 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)			0.95 (NA to NA)			0.29 (NA to NA)			0.80 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1334, R2c: 0.9167

alpha_avg_power R2m: 0.0407, R2c: 0.867

beta_avg_power R2m: 0.096, R2c: 0.9565

theta_div_beta R2m: 0.0199, R2c: 0.0199

log_theta_div_beta R2m: 0.13, R2c: 0.4767

aperiodic_exp R2m: 0.0564, R2c: 0.948

aperiodic_offset R2m: 0.0597, R2c: 0.9866

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_exp for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.5 (1.1 to 1.9)	<0.001	<0.001	1.2 (0.60 to 1.8)	<0.001	<0.001	0.66 (0.18 to 1.1)	0.007	0.027	3.4 (-3.7 to 10)	0.35	0.86	0.61 (-0.18 to 1.4)	0.13	0.27	1.1 (1.0 to 1.3)	<0.001	<0.001	-0.70 (-1.0 to -0.35)	<0.001	<0.001
mean_UDexc_COV	-0.02 (-0.04 to -0.01)	<0.001	<0.001	0.00 (-0.02 to 0.03)	0.76	0.85	0.01 (-0.01 to 0.02)	0.29	0.39	-0.10 (-0.62 to 0.43)	0.72	0.86	0.00 (-0.06 to 0.05)	0.85	0.85	0.00 (0.00 to 0.00)	0.37	0.49	0.00 (-0.01 to 0.00)	0.27	0.36
group_char		0.009	0.012		0.56	0.85		0.12	0.25		0.62	0.86		0.13	0.27		0.27	0.49		0.16	0.33
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.82 (-1.4 to -0.25)			-0.14 (-1.1 to 0.77)			0.45 (-0.25 to 1.1)			-5.2 (-16 to 5.4)			1.2 (0.01 to 2.4)			-0.13 (-0.32 to 0.06)			-0.38 (-0.89 to 0.12)
H3000’s	-0.70 (-1.3 to -0.12)			0.37 (-0.56 to 1.3)			0.72 (0.02 to 1.4)			-1.3 (-13 to 9.9)			0.73 (-0.51 to 2.0)			0.02 (-0.17 to 0.22)			0.09 (-0.42 to 0.59)
mean_UDexc_COV * group_char		0.52	0.52		0.85	0.85		0.49	0.49		0.86	0.86		0.81	0.85		0.81	0.81		0.71	0.71
mean_UDexc_COV * H2000’s	0.01 (-0.01 to 0.03)			0.01 (-0.03 to 0.04)			0.01 (-0.01 to 0.03)			0.21 (-0.55 to 0.97)			0.01 (-0.06 to 0.08)			0.00 (-0.01 to 0.00)			0.00 (-0.01 to 0.00)
mean_UDexc_COV * H3000’s	0.01 (-0.01 to 0.02)			0.01 (-0.03 to 0.04)			0.00 (-0.01 to 0.02)			0.06 (-0.71 to 0.84)			0.02 (-0.05 to 0.10)			0.00 (-0.01 to 0.00)			0.00 (-0.01 to 0.00)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)			0.96 (NA to NA)			0.29 (NA to NA)			0.80 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.52 (NA to NA)			0.25 (NA to NA)			13 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1335, R2c: 0.9127

alpha_avg_power R2m: 0.0327, R2c: 0.8612

beta_avg_power R2m: 0.0893, R2c: 0.953

theta_div_beta R2m: 0.008, R2c: 0.008

log_theta_div_beta R2m: 0.1271, R2c: 0.4775

aperiodic_exp R2m: 0.057, R2c: 0.9483

aperiodic_offset R2m: 0.0597, R2c: 0.9869

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_offset for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.81 (0.42 to 1.2)	<0.001	<0.001	1.2 (0.54 to 1.8)	<0.001	0.001	0.77 (0.29 to 1.3)	0.002	0.007	2.3 (-5.7 to 10)	0.57	0.80	0.43 (-0.43 to 1.3)	0.33	0.65	1.1 (0.96 to 1.2)	<0.001	<0.001	-0.76 (-1.1 to -0.42)	<0.001	<0.001
mean_UDexc_mean	15 (7.7 to 22)	<0.001	<0.001	3.8 (-10 to 18)	0.59	0.59	-1.5 (-7.9 to 5.0)	0.65	0.65	-3.6 (-318 to 311)	0.98	0.98	5.1 (-25 to 35)	0.74	0.74	1.0 (-0.83 to 2.9)	0.28	0.37	1.5 (-1.1 to 4.0)	0.26	0.34
group_char		0.070	0.093		0.39	0.53		0.017	0.034		0.39	0.80		0.015	0.062		0.089	0.18		0.14	0.29
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.56 (-1.1 to 0.02)			0.27 (-0.65 to 1.2)			0.81 (0.12 to 1.5)			-6.3 (-17 to 4.6)			1.7 (0.49 to 2.9)			-0.17 (-0.37 to 0.02)			-0.44 (-0.94 to 0.07)
H3000’s	-0.61 (-1.2 to -0.03)			0.66 (-0.28 to 1.6)			0.92 (0.22 to 1.6)			0.57 (-11 to 12)			1.3 (0.08 to 2.6)			0.03 (-0.16 to 0.23)			0.02 (-0.48 to 0.53)
mean_UDexc_mean * group_char		0.45	0.45		0.40	0.53		0.11	0.14		0.60	0.80		0.72	0.74		0.38	0.38		0.81	0.81
mean_UDexc_mean * H2000’s	-6.4 (-16 to 3.6)			-13 (-32 to 5.8)			-9.6 (-18 to -0.70)			157 (-269 to 583)			-17 (-58 to 24)			0.94 (-1.6 to 3.5)			1.1 (-2.3 to 4.6)
mean_UDexc_mean * H3000’s	-3.0 (-13 to 7.4)			-6.2 (-26 to 13)			-5.4 (-15 to 3.9)			-45 (-472 to 383)			-11 (-53 to 32)			-0.89 (-3.6 to 1.8)			0.80 (-2.8 to 4.4)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)			0.96 (NA to NA)			0.29 (NA to NA)			0.80 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.52 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.136, R2c: 0.9148

alpha_avg_power R2m: 0.0331, R2c: 0.8616

beta_avg_power R2m: 0.0919, R2c: 0.9539

theta_div_beta R2m: 0.0118, R2c: 0.0118

log_theta_div_beta R2m: 0.1282, R2c: 0.4784

aperiodic_exp R2m: 0.0573, R2c: 0.9486

aperiodic_offset R2m: 0.0597, R2c: 0.9869

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.5 (1.1 to 1.9)	<0.001	<0.001	1.1 (0.51 to 1.7)	<0.001	0.001	0.63 (0.16 to 1.1)	0.009	0.017	1.9 (-5.0 to 8.8)	0.59	0.79	0.68 (-0.08 to 1.4)	0.077	0.31	1.1 (1.0 to 1.3)	<0.001	<0.001	-0.71 (-1.1 to -0.36)	<0.001	<0.001
mean_StanceDur	-0.24 (-0.35 to -0.13)	<0.001	<0.001	0.12 (-0.09 to 0.33)	0.26	0.35	0.09 (-0.01 to 0.18)	0.079	0.11	0.25 (-4.9 to 5.4)	0.92	0.92	-0.11 (-0.58 to 0.37)	0.66	0.66	-0.01 (-0.04 to 0.02)	0.49	0.49	-0.02 (-0.06 to 0.02)	0.42	0.42
group_char		0.013	0.018		0.63	0.63		0.28	0.28		0.15	0.51		0.30	0.59		0.40	0.49		0.20	0.40
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.85 (-1.4 to -0.27)			-0.34 (-1.3 to 0.58)			0.33 (-0.36 to 1.0)			-9.6 (-21 to 1.7)			0.96 (-0.26 to 2.2)			-0.12 (-0.31 to 0.08)			-0.36 (-0.87 to 0.14)
H3000’s	-0.56 (-1.2 to 0.04)			0.13 (-0.83 to 1.1)			0.56 (-0.14 to 1.3)			2.4 (-10 to 15)			0.49 (-0.87 to 1.8)			0.00 (-0.19 to 0.20)			0.09 (-0.42 to 0.59)
mean_StanceDur * group_char		0.23	0.23		0.12	0.23		0.007	0.017		0.25	0.51		0.56	0.66		0.47	0.49		0.33	0.42
mean_StanceDur * H2000’s	0.09 (-0.13 to 0.31)			0.31 (-0.09 to 0.72)			0.26 (0.07 to 0.46)			7.1 (-2.7 to 17)			0.30 (-0.62 to 1.2)			-0.03 (-0.09 to 0.02)			-0.05 (-0.13 to 0.03)
mean_StanceDur * H3000’s	-0.21 (-0.51 to 0.10)			0.48 (-0.08 to 1.0)			0.28 (0.02 to 0.54)			-3.3 (-16 to 9.0)			0.62 (-0.61 to 1.9)			0.01 (-0.07 to 0.08)			-0.05 (-0.16 to 0.05)
subj_char.sd__(Intercept)	0.84 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)			0.95 (NA to NA)			0.29 (NA to NA)			0.80 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9145

alpha_avg_power R2m: 0.0404, R2c: 0.8668

beta_avg_power R2m: 0.0952, R2c: 0.9561

theta_div_beta R2m: 0.0203, R2c: 0.0203

log_theta_div_beta R2m: 0.1294, R2c: 0.4753

aperiodic_exp R2m: 0.0565, R2c: 0.948

aperiodic_offset R2m: 0.0597, R2c: 0.9867

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.5 (1.1 to 1.9)	<0.001	<0.001	1.1 (0.46 to 1.7)	<0.001	0.003	0.61 (0.13 to 1.1)	0.012	0.024	1.8 (-6.5 to 10)	0.67	0.89	0.69 (-0.18 to 1.6)	0.12	0.47	1.1 (1.0 to 1.3)	<0.001	<0.001	-0.71 (-1.1 to -0.36)	<0.001	<0.001
mean_GaitCycleDur	-0.21 (-0.30 to -0.11)	<0.001	<0.001	0.09 (-0.08 to 0.27)	0.30	0.39	0.07 (-0.01 to 0.15)	0.092	0.12	0.21 (-4.1 to 4.5)	0.92	0.92	-0.08 (-0.48 to 0.32)	0.70	0.70	-0.01 (-0.03 to 0.02)	0.52	0.52	-0.01 (-0.05 to 0.02)	0.44	0.44
group_char		0.015	0.020		0.56	0.56		0.43	0.43		0.18	0.56		0.52	0.70		0.50	0.52		0.21	0.43
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.89 (-1.5 to -0.29)			-0.46 (-1.4 to 0.51)			0.24 (-0.46 to 0.95)			-11 (-25 to 2.3)			0.83 (-0.60 to 2.3)			-0.11 (-0.31 to 0.09)			-0.35 (-0.86 to 0.16)
H3000’s	-0.48 (-1.1 to 0.17)			0.06 (-0.99 to 1.1)			0.48 (-0.24 to 1.2)			2.2 (-12 to 17)			0.34 (-1.3 to 2.0)			0.00 (-0.21 to 0.20)			0.10 (-0.42 to 0.61)
mean_GaitCycleDur * group_char		0.13	0.13		0.11	0.22		0.003	0.014		0.28	0.56		0.53	0.70		0.45	0.52		0.36	0.44
mean_GaitCycleDur * H2000’s	0.08 (-0.10 to 0.27)			0.30 (-0.05 to 0.64)			0.24 (0.08 to 0.40)			5.9 (-2.3 to 14)			0.29 (-0.49 to 1.1)			-0.03 (-0.08 to 0.02)			-0.04 (-0.11 to 0.02)
mean_GaitCycleDur * H3000’s	-0.22 (-0.49 to 0.04)			0.38 (-0.10 to 0.87)			0.26 (0.03 to 0.49)			-2.0 (-12 to 8.0)			0.53 (-0.53 to 1.6)			0.01 (-0.06 to 0.08)			-0.04 (-0.14 to 0.05)
subj_char.sd__(Intercept)	0.84 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)			0.95 (NA to NA)			0.29 (NA to NA)			0.80 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1333, R2c: 0.9166

alpha_avg_power R2m: 0.0407, R2c: 0.867

beta_avg_power R2m: 0.096, R2c: 0.9565

theta_div_beta R2m: 0.0198, R2c: 0.0198

log_theta_div_beta R2m: 0.13, R2c: 0.4766

aperiodic_exp R2m: 0.0564, R2c: 0.948

aperiodic_offset R2m: 0.0597, R2c: 0.9866

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.91 (0.52 to 1.3)	<0.001	<0.001	1.3 (0.65 to 1.9)	<0.001	<0.001	0.77 (0.30 to 1.2)	0.001	0.005	2.1 (-4.4 to 8.6)	0.53	0.97	0.50 (-0.22 to 1.2)	0.17	0.35	1.1 (0.97 to 1.2)	<0.001	<0.001	-0.76 (-1.1 to -0.41)	<0.001	<0.001
mean_PeakUpDownVel_mean	1.1 (0.57 to 1.7)	<0.001	<0.001	0.04 (-0.99 to 1.1)	0.94	0.94	-0.16 (-0.64 to 0.32)	0.52	0.52	0.43 (-24 to 25)	0.97	0.97	0.21 (-2.1 to 2.5)	0.86	0.86	0.08 (-0.06 to 0.22)	0.29	0.38	0.11 (-0.08 to 0.30)	0.26	0.34
group_char		0.046	0.062		0.31	0.58		0.016	0.032		0.62	0.97		0.007	0.028		0.10	0.20		0.15	0.29
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.61 (-1.2 to -0.05)			0.19 (-0.69 to 1.1)			0.78 (0.10 to 1.5)			-4.1 (-13 to 5.1)			1.6 (0.60 to 2.7)			-0.17 (-0.36 to 0.02)			-0.43 (-0.93 to 0.07)
H3000’s	-0.60 (-1.2 to -0.04)			0.68 (-0.21 to 1.6)			0.92 (0.24 to 1.6)			-0.19 (-9.7 to 9.3)			1.1 (0.02 to 2.2)			0.02 (-0.17 to 0.21)			0.02 (-0.49 to 0.52)
mean_PeakUpDownVel_mean * group_char		0.43	0.43		0.43	0.58		0.071	0.10		0.88	0.97		0.63	0.84		0.42	0.42		0.78	0.78
mean_PeakUpDownVel_mean * H2000’s	-0.49 (-1.3 to 0.28)			-0.92 (-2.3 to 0.50)			-0.77 (-1.4 to -0.11)			6.3 (-28 to 40)			-1.4 (-4.6 to 1.8)			0.07 (-0.12 to 0.27)			0.08 (-0.18 to 0.35)
mean_PeakUpDownVel_mean * H3000’s	-0.37 (-1.1 to 0.40)			-0.62 (-2.1 to 0.81)			-0.46 (-1.1 to 0.21)			-1.5 (-35 to 32)			-0.13 (-3.3 to 3.1)			-0.06 (-0.25 to 0.14)			0.08 (-0.18 to 0.35)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)			0.95 (NA to NA)			0.29 (NA to NA)			0.80 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.52 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1335, R2c: 0.9127

alpha_avg_power R2m: 0.0344, R2c: 0.8632

beta_avg_power R2m: 0.0927, R2c: 0.9554

theta_div_beta R2m: 0.0081, R2c: 0.0081

log_theta_div_beta R2m: 0.1288, R2c: 0.4765

aperiodic_exp R2m: 0.0571, R2c: 0.9485

aperiodic_offset R2m: 0.0599, R2c: 0.9869

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_avg_power for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.1 (0.56 to 1.6)	<0.001	<0.001	1.3 (0.30 to 2.3)	0.011	0.044	1.7 (0.80 to 2.5)	<0.001	<0.001	-2.0 (-15 to 12)	0.77	0.89	0.53 (-0.68 to 1.7)	0.39	0.39	1.0 (0.89 to 1.2)	<0.001	<0.001	-1.1 (-1.3 to -0.86)	<0.001	<0.001
mean_APexc_COV	-0.01 (-0.03 to 0.01)	0.36	0.48	0.00 (-0.04 to 0.03)	0.78	0.86	-0.01 (-0.03 to 0.02)	0.63	0.63	0.06 (-0.77 to 0.90)	0.89	0.89	0.04 (-0.02 to 0.11)	0.22	0.29	0.00 (0.00 to 0.01)	0.52	0.70	0.00 (-0.01 to 0.01)	0.58	0.78
group_char		0.15	0.30		0.86	0.86		0.47	0.63		0.47	0.89		0.047	0.19		0.20	0.40		0.055	0.11
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.24 (-1.1 to 0.58)			-0.36 (-2.0 to 1.2)			0.29 (-1.0 to 1.6)			12 (-8.5 to 33)			1.9 (-0.13 to 3.9)			-0.19 (-0.41 to 0.03)			-0.44 (-0.80 to -0.08)
H3000’s	-0.70 (-1.4 to 0.01)			0.05 (-1.4 to 1.5)			0.75 (-0.45 to 2.0)			1.8 (-16 to 20)			2.0 (0.28 to 3.7)			-0.12 (-0.31 to 0.07)			-0.14 (-0.46 to 0.18)
mean_APexc_COV * group_char		0.62	0.62		0.79	0.86		0.27	0.54		0.64	0.89		0.19	0.29		0.98	0.98		0.90	0.90
mean_APexc_COV * H2000’s	0.00 (-0.03 to 0.04)			0.01 (-0.03 to 0.06)			0.02 (-0.01 to 0.05)			-0.41 (-1.5 to 0.66)			-0.06 (-0.15 to 0.03)			0.00 (-0.01 to 0.01)			0.00 (-0.01 to 0.01)
mean_APexc_COV * H3000’s	0.01 (-0.02 to 0.04)			0.01 (-0.03 to 0.05)			0.02 (0.00 to 0.05)			-0.04 (-1.0 to 0.92)			-0.07 (-0.15 to 0.01)			0.00 (-0.01 to 0.01)			0.00 (-0.01 to 0.01)
subj_char.sd__(Intercept)	0.76 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			1.4 (NA to NA)			0.21 (NA to NA)			0.45 (NA to NA)
Residual.sd__Observation	0.34 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)			0.95 (NA to NA)			0.09 (NA to NA)			0.11 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0637, R2c: 0.8434

alpha_avg_power R2m: 0.0076, R2c: 0.9517

beta_avg_power R2m: 0.0754, R2c: 0.9752

theta_div_beta R2m: 0.0116, R2c: 0.0116

log_theta_div_beta R2m: 0.0494, R2c: 0.712

aperiodic_exp R2m: 0.1042, R2c: 0.8719

aperiodic_offset R2m: 0.1487, R2c: 0.9534

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in alpha_avg_power for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.1 (0.67 to 1.5)	<0.001	<0.001	1.1 (0.20 to 2.1)	0.018	0.071	1.4 (0.59 to 2.2)	<0.001	0.003	-7.5 (-19 to 4.0)	0.20	0.33	1.1 (0.11 to 2.1)	0.030	0.12	1.1 (0.94 to 1.2)	<0.001	<0.001	-1.0 (-1.2 to -0.81)	<0.001	<0.001
mean_APexc_mean	-3.8 (-8.7 to 1.1)	0.13	0.17	1.9 (-4.7 to 8.5)	0.58	0.77	3.0 (-1.4 to 7.4)	0.18	0.24	120 (-84 to 323)	0.25	0.33	1.2 (-13 to 15)	0.87	0.87	-0.15 (-1.4 to 1.1)	0.81	0.81	-0.60 (-2.2 to 0.97)	0.45	0.61
group_char		0.056	0.11		0.94	0.94		0.11	0.23		0.25	0.33		0.35	0.70		0.27	0.54		0.027	0.054
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.20 (-0.83 to 0.42)			-0.22 (-1.6 to 1.2)			0.48 (-0.74 to 1.7)			14 (-2.5 to 30)			0.94 (-0.53 to 2.4)			-0.14 (-0.31 to 0.03)			-0.43 (-0.74 to -0.11)
H3000’s	-0.70 (-1.3 to -0.11)			0.02 (-1.3 to 1.3)			1.2 (0.07 to 2.3)			8.0 (-6.5 to 23)			0.88 (-0.49 to 2.3)			-0.08 (-0.24 to 0.08)			-0.16 (-0.46 to 0.13)
mean_APexc_mean * group_char		0.41	0.41		0.33	0.65		0.62	0.62		0.41	0.41		0.81	0.87		0.49	0.66		0.62	0.62
mean_APexc_mean * H2000’s	-2.2 (-10 to 5.5)			3.2 (-7.3 to 14)			3.5 (-3.5 to 10)			-204 (-511 to 103)			-1.5 (-23 to 20)			-1.2 (-3.2 to 0.79)			-1.2 (-3.7 to 1.3)
mean_APexc_mean * H3000’s	3.5 (-4.3 to 11)			8.1 (-2.5 to 19)			1.7 (-5.4 to 8.8)			-123 (-408 to 161)			-7.0 (-29 to 15)			-0.46 (-2.5 to 1.6)			-0.24 (-2.7 to 2.3)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.45 (NA to NA)
Residual.sd__Observation	0.34 (NA to NA)			0.45 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)			0.95 (NA to NA)			0.09 (NA to NA)			0.11 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.068, R2c: 0.8444

alpha_avg_power R2m: 0.0098, R2c: 0.9531

beta_avg_power R2m: 0.0759, R2c: 0.9755

theta_div_beta R2m: 0.0149, R2c: 0.0149

log_theta_div_beta R2m: 0.0409, R2c: 0.7131

aperiodic_exp R2m: 0.1064, R2c: 0.8719

aperiodic_offset R2m: 0.1509, R2c: 0.954

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in beta_avg_power for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.95 (0.49 to 1.4)	<0.001	<0.001	1.6 (0.64 to 2.6)	0.001	0.005	1.8 (0.92 to 2.6)	<0.001	<0.001	3.1 (-7.2 to 13)	0.56	0.86	0.60 (-0.49 to 1.7)	0.28	0.28	0.96 (0.84 to 1.1)	<0.001	<0.001	-1.2 (-1.4 to -0.97)	<0.001	<0.001
mean_MLexc_COV	0.00 (-0.03 to 0.02)	0.72	0.72	-0.03 (-0.06 to 0.00)	0.10	0.20	-0.01 (-0.03 to 0.01)	0.22	0.30	-0.27 (-0.93 to 0.38)	0.41	0.86	0.04 (-0.02 to 0.10)	0.20	0.27	0.01 (0.00 to 0.01)	0.041	0.082	0.01 (0.00 to 0.02)	0.010	0.020
group_char		0.071	0.14		0.66	0.66		0.11	0.23		0.86	0.86		0.063	0.25		0.21	0.27		0.031	0.042
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.59 (-1.2 to 0.05)			-0.62 (-2.0 to 0.80)			0.48 (-0.75 to 1.7)			0.89 (-13 to 15)			1.5 (-0.01 to 3.0)			-0.16 (-0.33 to 0.02)			-0.41 (-0.72 to -0.09)
H3000’s	-0.69 (-1.3 to -0.06)			-0.11 (-1.5 to 1.2)			1.2 (0.06 to 2.4)			-3.0 (-18 to 12)			1.6 (0.16 to 3.1)			-0.06 (-0.23 to 0.11)			-0.10 (-0.40 to 0.20)
mean_MLexc_COV * group_char		0.30	0.40		0.16	0.21		0.71	0.71		0.84	0.86		0.20	0.27		0.72	0.72		0.54	0.54
mean_MLexc_COV * H2000’s	0.02 (-0.01 to 0.05)			0.04 (0.00 to 0.08)			0.01 (-0.02 to 0.04)			0.15 (-0.77 to 1.1)			-0.04 (-0.12 to 0.04)			0.00 (-0.01 to 0.00)			0.00 (-0.01 to 0.00)
mean_MLexc_COV * H3000’s	0.01 (-0.02 to 0.04)			0.03 (-0.01 to 0.07)			0.00 (-0.03 to 0.03)			0.29 (-0.66 to 1.2)			-0.07 (-0.15 to 0.01)			0.00 (-0.01 to 0.00)			0.00 (-0.01 to 0.00)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.45 (NA to NA)
Residual.sd__Observation	0.34 (NA to NA)			0.46 (NA to NA)			0.31 (NA to NA)			15 (NA to NA)			0.94 (NA to NA)			0.09 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0675, R2c: 0.8445

alpha_avg_power R2m: 0.0088, R2c: 0.9518

beta_avg_power R2m: 0.0748, R2c: 0.9748

theta_div_beta R2m: 0.0106, R2c: 0.0106

log_theta_div_beta R2m: 0.0466, R2c: 0.7193

aperiodic_exp R2m: 0.1095, R2c: 0.8774

aperiodic_offset R2m: 0.1526, R2c: 0.9561

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_div_beta for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.0 (0.61 to 1.4)	<0.001	<0.001	0.95 (0.01 to 1.9)	0.047	0.19	1.4 (0.55 to 2.2)	0.001	0.004	-5.6 (-15 to 4.2)	0.26	0.44	1.2 (0.21 to 2.1)	0.018	0.070	1.1 (0.98 to 1.2)	<0.001	<0.001	-0.97 (-1.2 to -0.76)	<0.001	<0.001
mean_MLexc_mean	-1.7 (-4.8 to 1.5)	0.30	0.40	3.7 (-0.79 to 8.1)	0.11	0.21	2.6 (-0.33 to 5.5)	0.082	0.13	58 (-59 to 175)	0.33	0.44	-0.09 (-9.2 to 9.0)	0.98	0.98	-0.55 (-1.4 to 0.27)	0.19	0.25	-1.1 (-2.1 to -0.08)	0.034	0.045
group_char		0.21	0.40		0.76	0.76		0.10	0.13		0.32	0.44		0.27	0.54		0.092	0.18		0.006	0.013
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.03 (-0.62 to 0.56)			0.27 (-1.1 to 1.7)			0.68 (-0.53 to 1.9)			10 (-3.2 to 24)			1.1 (-0.24 to 2.5)			-0.18 (-0.34 to -0.02)			-0.49 (-0.80 to -0.18)
H3000’s	-0.45 (-1.0 to 0.11)			0.49 (-0.81 to 1.8)			1.2 (0.10 to 2.4)			6.0 (-6.5 to 19)			0.64 (-0.66 to 1.9)			-0.09 (-0.24 to 0.07)			-0.17 (-0.46 to 0.12)
mean_MLexc_mean * group_char		0.42	0.42		0.27	0.37		0.79	0.79		0.53	0.53		0.87	0.98		0.96	0.96		0.88	0.88
mean_MLexc_mean * H2000’s	-2.2 (-6.0 to 1.6)			-4.3 (-9.7 to 1.1)			-1.0 (-4.6 to 2.5)			-84 (-232 to 63)			-2.6 (-14 to 8.4)			-0.05 (-1.0 to 0.95)			0.31 (-0.92 to 1.5)
mean_MLexc_mean * H3000’s	-0.55 (-4.5 to 3.4)			-2.2 (-7.8 to 3.5)			-0.16 (-3.9 to 3.6)			-59 (-205 to 86)			-0.74 (-12 to 11)			-0.14 (-1.2 to 0.90)			0.14 (-1.1 to 1.4)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.45 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)			0.95 (NA to NA)			0.09 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0763, R2c: 0.8546

alpha_avg_power R2m: 0.0084, R2c: 0.9519

beta_avg_power R2m: 0.0756, R2c: 0.9756

theta_div_beta R2m: 0.0125, R2c: 0.0125

log_theta_div_beta R2m: 0.0413, R2c: 0.7112

aperiodic_exp R2m: 0.1117, R2c: 0.8771

aperiodic_offset R2m: 0.1533, R2c: 0.9569

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in log_theta_div_beta for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.0 (0.65 to 1.4)	<0.001	<0.001	1.1 (0.17 to 2.0)	0.020	0.082	1.5 (0.66 to 2.3)	<0.001	0.001	-2.9 (-12 to 6.5)	0.55	0.75	1.1 (0.26 to 2.0)	0.011	0.045	1.1 (0.95 to 1.2)	<0.001	<0.001	-1.0 (-1.2 to -0.82)	<0.001	<0.001
mean_StepDur	-0.16 (-0.37 to 0.05)	0.14	0.27	0.17 (-0.13 to 0.47)	0.26	0.52	0.12 (-0.08 to 0.32)	0.23	0.28	2.1 (-7.6 to 12)	0.67	0.75	0.05 (-0.57 to 0.67)	0.87	0.87	-0.01 (-0.07 to 0.05)	0.73	0.73	-0.04 (-0.10 to 0.03)	0.30	0.30
group_char		0.30	0.30		0.90	0.90		0.21	0.28		0.54	0.75		0.26	0.52		0.32	0.43		0.029	0.058
H1000’s	—			—			—			—			—			—			—
H2000’s	0.00 (-0.60 to 0.60)			0.08 (-1.3 to 1.5)			0.51 (-0.71 to 1.7)			9.3 (-7.1 to 26)			1.2 (-0.25 to 2.6)			-0.13 (-0.29 to 0.04)			-0.40 (-0.71 to -0.10)
H3000’s	-0.41 (-0.99 to 0.16)			0.30 (-1.0 to 1.6)			1.0 (-0.11 to 2.2)			3.7 (-11 to 19)			0.62 (-0.75 to 2.0)			-0.03 (-0.19 to 0.12)			-0.09 (-0.38 to 0.21)
mean_StepDur * group_char		0.20	0.27		0.79	0.90		0.28	0.28		0.75	0.75		0.83	0.87		0.14	0.28		0.14	0.19
mean_StepDur * H2000’s	-0.39 (-0.82 to 0.05)			-0.17 (-0.78 to 0.44)			0.17 (-0.23 to 0.57)			-7.4 (-27 to 12)			-0.38 (-1.6 to 0.88)			-0.09 (-0.21 to 0.02)			-0.10 (-0.24 to 0.03)
mean_StepDur * H3000’s	-0.18 (-0.65 to 0.29)			0.09 (-0.57 to 0.76)			0.33 (-0.10 to 0.77)			-2.7 (-22 to 16)			-0.04 (-1.4 to 1.3)			-0.10 (-0.22 to 0.03)			-0.13 (-0.28 to 0.03)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			1.4 (NA to NA)			0.21 (NA to NA)			0.45 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)			0.95 (NA to NA)			0.09 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0725, R2c: 0.8484

alpha_avg_power R2m: 0.0075, R2c: 0.9523

beta_avg_power R2m: 0.0757, R2c: 0.9756

theta_div_beta R2m: 0.0096, R2c: 0.0096

log_theta_div_beta R2m: 0.0407, R2c: 0.7108

aperiodic_exp R2m: 0.1086, R2c: 0.8738

aperiodic_offset R2m: 0.1519, R2c: 0.9558

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_exp for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.0 (0.62 to 1.4)	<0.001	<0.001	1.1 (0.23 to 2.1)	0.014	0.056	1.4 (0.64 to 2.2)	<0.001	0.002	-1.5 (-9.9 to 7.0)	0.73	0.99	1.1 (0.30 to 2.0)	0.007	0.029	1.1 (0.96 to 1.2)	<0.001	<0.001	-1.0 (-1.2 to -0.81)	<0.001	<0.001
mean_UDexc_COV	-0.01 (-0.02 to 0.01)	0.21	0.42	0.01 (-0.01 to 0.03)	0.41	0.82	0.01 (0.00 to 0.02)	0.10	0.16	0.04 (-0.59 to 0.66)	0.91	0.99	0.00 (-0.04 to 0.04)	0.87	0.87	0.00 (-0.01 to 0.00)	0.45	0.56	0.00 (-0.01 to 0.00)	0.14	0.19
group_char		0.38	0.50		0.77	0.82		0.12	0.16		0.86	0.99		0.18	0.37		0.083	0.17		0.008	0.016
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.17 (-0.73 to 0.39)			0.02 (-1.3 to 1.4)			0.63 (-0.57 to 1.8)			3.5 (-8.7 to 16)			1.1 (-0.13 to 2.3)			-0.17 (-0.33 to -0.02)			-0.46 (-0.76 to -0.16)
H3000’s	-0.38 (-0.92 to 0.16)			0.42 (-0.86 to 1.7)			1.2 (0.06 to 2.3)			1.9 (-11 to 14)			0.80 (-0.39 to 2.0)			-0.06 (-0.21 to 0.09)			-0.12 (-0.40 to 0.17)
mean_UDexc_COV * group_char		0.69	0.69		0.82	0.82		0.94	0.94		0.99	0.99		0.80	0.87		0.56	0.56		0.65	0.65
mean_UDexc_COV * H2000’s	-0.01 (-0.03 to 0.01)			-0.01 (-0.04 to 0.02)			0.00 (-0.02 to 0.02)			-0.02 (-0.88 to 0.85)			-0.02 (-0.08 to 0.04)			0.00 (-0.01 to 0.00)			0.00 (-0.01 to 0.01)
mean_UDexc_COV * H3000’s	-0.01 (-0.03 to 0.01)			-0.01 (-0.04 to 0.02)			0.00 (-0.02 to 0.02)			-0.05 (-0.92 to 0.83)			-0.02 (-0.08 to 0.04)			0.00 (-0.01 to 0.00)			0.00 (-0.01 to 0.00)
subj_char.sd__(Intercept)	0.76 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			1.4 (NA to NA)			0.21 (NA to NA)			0.45 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)			0.96 (NA to NA)			0.09 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0706, R2c: 0.8527

alpha_avg_power R2m: 0.0073, R2c: 0.9517

beta_avg_power R2m: 0.0748, R2c: 0.9755

theta_div_beta R2m: 0.0073, R2c: 0.0073

log_theta_div_beta R2m: 0.0417, R2c: 0.7071

aperiodic_exp R2m: 0.107, R2c: 0.8773

aperiodic_offset R2m: 0.1517, R2c: 0.9564

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_offset for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.77 (0.37 to 1.2)	<0.001	<0.001	1.3 (0.41 to 2.3)	0.005	0.019	1.7 (0.89 to 2.5)	<0.001	<0.001	-0.68 (-10 to 8.9)	0.89	0.98	1.4 (0.49 to 2.3)	0.002	0.010	1.0 (0.89 to 1.1)	<0.001	<0.001	-1.1 (-1.3 to -0.94)	<0.001	<0.001
mean_UDexc_mean	5.1 (-3.9 to 14)	0.27	0.36	-3.7 (-16 to 9.0)	0.57	0.69	-5.6 (-14 to 2.6)	0.18	0.18	-14 (-397 to 369)	0.94	0.98	-9.2 (-35 to 17)	0.49	0.80	2.2 (-0.11 to 4.4)	0.063	0.084	3.8 (1.1 to 6.5)	0.006	0.012
group_char		0.087	0.17		0.69	0.69		0.044	0.088		0.98	0.98		0.80	0.80		0.031	0.061		0.009	0.012
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.48 (-1.1 to 0.11)			-0.29 (-1.7 to 1.1)			0.56 (-0.65 to 1.8)			-0.41 (-14 to 14)			0.44 (-0.88 to 1.8)			-0.21 (-0.37 to -0.05)			-0.48 (-0.78 to -0.17)
H3000’s	-0.59 (-1.1 to -0.04)			0.31 (-0.98 to 1.6)			1.4 (0.30 to 2.6)			0.81 (-12 to 14)			0.29 (-0.96 to 1.5)			-0.14 (-0.29 to 0.01)			-0.21 (-0.50 to 0.07)
mean_UDexc_mean * group_char		0.52	0.52		0.57	0.69		0.15	0.18		0.84	0.98		0.63	0.80		0.61	0.61		0.44	0.44
mean_UDexc_mean * H2000’s	7.4 (-5.2 to 20)			8.4 (-9.3 to 26)			2.9 (-8.5 to 14)			145 (-388 to 679)			17 (-19 to 54)			0.41 (-2.8 to 3.6)			-0.43 (-4.3 to 3.4)
mean_UDexc_mean * H3000’s	3.6 (-8.8 to 16)			0.64 (-17 to 18)			-7.8 (-19 to 3.5)			21 (-493 to 535)			12 (-24 to 48)			1.5 (-1.6 to 4.7)			1.9 (-1.9 to 5.6)
subj_char.sd__(Intercept)	0.76 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			1.4 (NA to NA)			0.22 (NA to NA)			0.45 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)			0.95 (NA to NA)			0.08 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0716, R2c: 0.8539

alpha_avg_power R2m: 0.0075, R2c: 0.9518

beta_avg_power R2m: 0.0757, R2c: 0.9762

theta_div_beta R2m: 0.0092, R2c: 0.0092

log_theta_div_beta R2m: 0.0417, R2c: 0.7088

aperiodic_exp R2m: 0.1131, R2c: 0.8866

aperiodic_offset R2m: 0.1541, R2c: 0.9609

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.0 (0.65 to 1.4)	<0.001	<0.001	1.1 (0.21 to 2.0)	0.016	0.064	1.5 (0.69 to 2.3)	<0.001	0.001	-2.5 (-10 to 5.5)	0.54	0.69	1.1 (0.32 to 1.9)	0.006	0.025	1.1 (0.96 to 1.2)	<0.001	<0.001	-1.0 (-1.2 to -0.83)	<0.001	<0.001
mean_StanceDur	-0.10 (-0.23 to 0.03)	0.14	0.28	0.11 (-0.07 to 0.29)	0.25	0.50	0.07 (-0.05 to 0.19)	0.24	0.24	1.2 (-4.6 to 7.0)	0.69	0.69	0.04 (-0.33 to 0.41)	0.83	0.85	-0.01 (-0.04 to 0.03)	0.69	0.69	-0.02 (-0.06 to 0.02)	0.28	0.28
group_char		0.26	0.29		0.89	0.89		0.18	0.24		0.45	0.69		0.22	0.45		0.20	0.27		0.019	0.037
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.09 (-0.65 to 0.48)			0.03 (-1.3 to 1.4)			0.52 (-0.68 to 1.7)			8.7 (-4.7 to 22)			1.1 (-0.17 to 2.4)			-0.14 (-0.30 to 0.01)			-0.42 (-0.73 to -0.12)
H3000’s	-0.44 (-0.97 to 0.10)			0.30 (-0.99 to 1.6)			1.1 (-0.06 to 2.2)			3.1 (-9.6 to 16)			0.63 (-0.59 to 1.9)			-0.06 (-0.21 to 0.09)			-0.11 (-0.39 to 0.17)
mean_StanceDur * group_char		0.29	0.29		0.82	0.89		0.24	0.24		0.69	0.69		0.85	0.85		0.21	0.27		0.20	0.27
mean_StanceDur * H2000’s	-0.20 (-0.46 to 0.05)			-0.09 (-0.44 to 0.27)			0.11 (-0.12 to 0.34)			-5.0 (-16 to 6.4)			-0.22 (-0.96 to 0.52)			-0.05 (-0.12 to 0.02)			-0.06 (-0.14 to 0.02)
mean_StanceDur * H3000’s	-0.10 (-0.38 to 0.18)			0.06 (-0.33 to 0.45)			0.21 (-0.05 to 0.46)			-1.6 (-13 to 10)			-0.05 (-0.84 to 0.75)			-0.05 (-0.12 to 0.03)			-0.06 (-0.15 to 0.02)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			1.4 (NA to NA)			0.21 (NA to NA)			0.45 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)			0.95 (NA to NA)			0.09 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0714, R2c: 0.8483

alpha_avg_power R2m: 0.0076, R2c: 0.9523

beta_avg_power R2m: 0.0757, R2c: 0.9757

theta_div_beta R2m: 0.0103, R2c: 0.0103

log_theta_div_beta R2m: 0.0406, R2c: 0.7108

aperiodic_exp R2m: 0.1071, R2c: 0.8741

aperiodic_offset R2m: 0.1512, R2c: 0.9558

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.0 (0.65 to 1.4)	<0.001	<0.001	1.1 (0.17 to 2.0)	0.020	0.082	1.5 (0.66 to 2.3)	<0.001	0.001	-2.9 (-12 to 6.5)	0.55	0.75	1.1 (0.26 to 2.0)	0.011	0.044	1.1 (0.95 to 1.2)	<0.001	<0.001	-1.0 (-1.2 to -0.82)	<0.001	<0.001
mean_GaitCycleDur	-0.08 (-0.19 to 0.03)	0.15	0.28	0.09 (-0.06 to 0.24)	0.26	0.51	0.06 (-0.04 to 0.16)	0.23	0.28	1.0 (-3.8 to 5.9)	0.67	0.75	0.03 (-0.28 to 0.34)	0.87	0.87	0.00 (-0.03 to 0.02)	0.74	0.74	-0.02 (-0.05 to 0.02)	0.30	0.30
group_char		0.30	0.30		0.90	0.90		0.21	0.28		0.54	0.75		0.26	0.52		0.32	0.43		0.029	0.058
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.01 (-0.61 to 0.60)			0.08 (-1.3 to 1.5)			0.51 (-0.71 to 1.7)			9.2 (-7.1 to 26)			1.2 (-0.24 to 2.6)			-0.13 (-0.29 to 0.04)			-0.40 (-0.71 to -0.10)
H3000’s	-0.41 (-0.99 to 0.16)			0.30 (-1.0 to 1.6)			1.0 (-0.11 to 2.2)			3.7 (-11 to 19)			0.61 (-0.75 to 2.0)			-0.03 (-0.19 to 0.12)			-0.08 (-0.38 to 0.21)
mean_GaitCycleDur * group_char		0.21	0.28		0.79	0.90		0.28	0.28		0.75	0.75		0.83	0.87		0.14	0.27		0.14	0.18
mean_GaitCycleDur * H2000’s	-0.19 (-0.41 to 0.03)			-0.08 (-0.39 to 0.22)			0.09 (-0.11 to 0.28)			-3.7 (-13 to 5.9)			-0.19 (-0.82 to 0.44)			-0.05 (-0.10 to 0.01)			-0.05 (-0.12 to 0.02)
mean_GaitCycleDur * H3000’s	-0.09 (-0.33 to 0.15)			0.05 (-0.29 to 0.38)			0.17 (-0.05 to 0.38)			-1.4 (-11 to 8.2)			-0.02 (-0.69 to 0.66)			-0.05 (-0.11 to 0.01)			-0.06 (-0.14 to 0.01)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			1.4 (NA to NA)			0.21 (NA to NA)			0.45 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)			0.95 (NA to NA)			0.09 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0724, R2c: 0.8484

alpha_avg_power R2m: 0.0075, R2c: 0.9523

beta_avg_power R2m: 0.0757, R2c: 0.9756

theta_div_beta R2m: 0.0096, R2c: 0.0096

log_theta_div_beta R2m: 0.0407, R2c: 0.7108

aperiodic_exp R2m: 0.1086, R2c: 0.8738

aperiodic_offset R2m: 0.1519, R2c: 0.9558

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.79 (0.43 to 1.2)	<0.001	<0.001	1.3 (0.42 to 2.2)	0.004	0.017	1.7 (0.88 to 2.5)	<0.001	<0.001	-1.2 (-8.9 to 6.6)	0.77	0.97	1.3 (0.48 to 2.1)	0.002	0.007	1.0 (0.92 to 1.1)	<0.001	<0.001	-1.1 (-1.3 to -0.92)	<0.001	<0.001
mean_PeakUpDownVel_mean	0.40 (-0.27 to 1.1)	0.24	0.32	-0.31 (-1.2 to 0.62)	0.52	0.68	-0.42 (-1.0 to 0.19)	0.18	0.18	0.73 (-29 to 31)	0.96	0.97	-0.44 (-2.4 to 1.5)	0.65	0.81	0.14 (-0.03 to 0.31)	0.10	0.14	0.26 (0.06 to 0.46)	0.012	0.016
group_char		0.077	0.15		0.68	0.68		0.049	0.10		0.97	0.97		0.52	0.81		0.015	0.030		0.006	0.012
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.45 (-1.0 to 0.09)			-0.24 (-1.6 to 1.1)			0.57 (-0.62 to 1.8)			1.2 (-10 to 13)			0.64 (-0.54 to 1.8)			-0.22 (-0.37 to -0.07)			-0.49 (-0.79 to -0.19)
H3000’s	-0.57 (-1.1 to -0.05)			0.34 (-0.92 to 1.6)			1.4 (0.28 to 2.5)			1.2 (-9.6 to 12)			0.50 (-0.62 to 1.6)			-0.14 (-0.28 to 0.00)			-0.21 (-0.49 to 0.06)
mean_PeakUpDownVel_mean * group_char		0.42	0.42		0.52	0.68		0.17	0.18		0.92	0.97		0.81	0.81		0.52	0.52		0.42	0.42
mean_PeakUpDownVel_mean * H2000’s	0.62 (-0.32 to 1.6)			0.63 (-0.68 to 1.9)			0.24 (-0.62 to 1.1)			7.6 (-34 to 49)			0.88 (-1.8 to 3.6)			0.07 (-0.17 to 0.31)			0.00 (-0.28 to 0.29)
mean_PeakUpDownVel_mean * H3000’s	0.20 (-0.70 to 1.1)			-0.04 (-1.3 to 1.2)			-0.53 (-1.4 to 0.29)			0.39 (-39 to 40)			0.34 (-2.3 to 3.0)			0.13 (-0.10 to 0.36)			0.16 (-0.11 to 0.43)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			1.4 (NA to NA)			0.21 (NA to NA)			0.45 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)			0.96 (NA to NA)			0.08 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.072, R2c: 0.8526

alpha_avg_power R2m: 0.0076, R2c: 0.9518

beta_avg_power R2m: 0.076, R2c: 0.9759

theta_div_beta R2m: 0.0085, R2c: 0.0085

log_theta_div_beta R2m: 0.0409, R2c: 0.7085

aperiodic_exp R2m: 0.1141, R2c: 0.8843

aperiodic_offset R2m: 0.1537, R2c: 0.9608

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_avg_power for Cluster: 13
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.60 (0.07 to 1.1)	0.027	0.11	4.2 (2.8 to 5.6)	<0.001	<0.001	1.9 (1.2 to 2.6)	<0.001	<0.001	1.0 (-4.6 to 6.7)	0.73	0.86	1.0 (-0.20 to 2.3)	0.10	0.26	1.1 (0.94 to 1.2)	<0.001	<0.001	-0.70 (-0.96 to -0.43)	<0.001	<0.001
mean_APexc_COV	0.00 (-0.02 to 0.02)	0.88	0.88	-0.04 (-0.10 to 0.02)	0.18	0.36	-0.01 (-0.04 to 0.02)	0.57	0.76	-0.03 (-0.38 to 0.32)	0.86	0.86	-0.01 (-0.08 to 0.07)	0.86	0.90	0.00 (-0.01 to 0.01)	0.98	0.98	0.00 (-0.01 to 0.01)	0.91	0.91
group_char		0.45	0.88		0.89	0.89		0.46	0.76		0.47	0.86		0.13	0.26		0.23	0.45		0.31	0.62
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.46 (-1.3 to 0.38)			-0.48 (-2.7 to 1.7)			0.46 (-0.62 to 1.5)			-3.2 (-12 to 5.7)			2.0 (0.05 to 4.0)			-0.21 (-0.45 to 0.03)			-0.33 (-0.76 to 0.09)
H3000’s	0.06 (-0.71 to 0.83)			-0.42 (-2.4 to 1.6)			-0.23 (-1.2 to 0.75)			2.2 (-5.4 to 9.9)			0.72 (-1.0 to 2.4)			-0.07 (-0.29 to 0.15)			-0.11 (-0.50 to 0.28)
mean_APexc_COV * group_char		0.77	0.88		0.76	0.89		0.93	0.93		0.85	0.86		0.90	0.90		0.95	0.98		0.84	0.91
mean_APexc_COV * H2000’s	0.00 (-0.03 to 0.04)			0.02 (-0.06 to 0.10)			-0.01 (-0.04 to 0.03)			0.09 (-0.37 to 0.56)			-0.02 (-0.12 to 0.07)			0.00 (-0.01 to 0.01)			0.00 (-0.01 to 0.01)
mean_APexc_COV * H3000’s	0.01 (-0.02 to 0.04)			0.03 (-0.04 to 0.09)			0.00 (-0.03 to 0.03)			-0.01 (-0.40 to 0.39)			-0.02 (-0.10 to 0.07)			0.00 (-0.01 to 0.01)			0.00 (-0.01 to 0.01)
subj_char.sd__(Intercept)	0.89 (NA to NA)			2.4 (NA to NA)			1.2 (NA to NA)			2.4 (NA to NA)			1.1 (NA to NA)			0.27 (NA to NA)			0.53 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.69 (NA to NA)			0.34 (NA to NA)			4.9 (NA to NA)			0.89 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0692, R2c: 0.921

alpha_avg_power R2m: 0.0044, R2c: 0.9229

beta_avg_power R2m: 0.0436, R2c: 0.9271

theta_div_beta R2m: 0.0449, R2c: 0.2322

log_theta_div_beta R2m: 0.1663, R2c: 0.6756

aperiodic_exp R2m: 0.103, R2c: 0.9399

aperiodic_offset R2m: 0.0767, R2c: 0.9692

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in alpha_avg_power for Cluster: 13
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.39 (-0.07 to 0.85)	0.10	0.20	3.1 (1.9 to 4.3)	<0.001	<0.001	1.5 (0.94 to 2.1)	<0.001	<0.001	0.65 (-3.7 to 5.0)	0.77	0.95	0.83 (-0.12 to 1.8)	0.086	0.34	1.1 (0.97 to 1.2)	<0.001	<0.001	-0.65 (-0.89 to -0.40)	<0.001	<0.001
mean_APexc_mean	3.3 (-1.0 to 7.7)	0.13	0.20	8.8 (-2.0 to 20)	0.11	0.22	4.8 (-0.54 to 10)	0.079	0.16	-2.2 (-77 to 72)	0.95	0.95	1.9 (-12 to 16)	0.79	0.79	-0.23 (-1.4 to 0.91)	0.69	0.69	-1.0 (-2.6 to 0.50)	0.19	0.19
group_char		0.15	0.20		0.91	0.91		0.69	0.69		0.045	0.18		0.20	0.40		0.012	0.024		0.061	0.12
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.13 (-0.86 to 0.60)			-0.26 (-2.2 to 1.7)			0.18 (-0.76 to 1.1)			-0.99 (-7.6 to 5.6)			1.4 (-0.12 to 2.8)			-0.32 (-0.53 to -0.10)			-0.46 (-0.85 to -0.06)
H3000’s	0.54 (-0.13 to 1.2)			-0.39 (-2.1 to 1.4)			-0.24 (-1.1 to 0.63)			5.7 (0.04 to 11)			0.50 (-0.80 to 1.8)			-0.07 (-0.26 to 0.13)			-0.07 (-0.43 to 0.30)
mean_APexc_mean * group_char		0.30	0.30		0.68	0.91		0.64	0.69		0.16	0.32		0.71	0.79		0.044	0.059		0.17	0.19
mean_APexc_mean * H2000’s	-4.3 (-12 to 3.3)			1.6 (-17 to 21)			2.6 (-6.7 to 12)			-8.1 (-132 to 115)			3.4 (-21 to 28)			1.7 (-0.27 to 3.7)			1.4 (-1.3 to 4.1)
mean_APexc_mean * H3000’s	-4.8 (-11 to 1.8)			7.3 (-9.4 to 24)			-2.1 (-10 to 6.0)			-97 (-202 to 9.4)			-6.8 (-28 to 15)			-0.95 (-2.7 to 0.79)			-1.3 (-3.7 to 1.1)
subj_char.sd__(Intercept)	0.89 (NA to NA)			2.4 (NA to NA)			1.2 (NA to NA)			2.5 (NA to NA)			1.1 (NA to NA)			0.27 (NA to NA)			0.53 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.68 (NA to NA)			0.33 (NA to NA)			4.8 (NA to NA)			0.90 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0698, R2c: 0.9208

alpha_avg_power R2m: 0.0087, R2c: 0.9251

beta_avg_power R2m: 0.045, R2c: 0.9288

theta_div_beta R2m: 0.0755, R2c: 0.2662

log_theta_div_beta R2m: 0.1637, R2c: 0.6652

aperiodic_exp R2m: 0.1055, R2c: 0.9424

aperiodic_offset R2m: 0.0786, R2c: 0.9708

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in beta_avg_power for Cluster: 13
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.60 (0.13 to 1.1)	0.013	0.053	4.0 (2.7 to 5.2)	<0.001	<0.001	1.8 (1.2 to 2.5)	<0.001	<0.001	0.51 (-3.3 to 4.3)	0.79	0.99	1.1 (0.10 to 2.0)	0.031	0.062	1.1 (0.94 to 1.2)	<0.001	<0.001	-0.74 (-1.0 to -0.49)	<0.001	<0.001
mean_MLexc_COV	0.00 (-0.02 to 0.02)	0.85	0.85	-0.03 (-0.07 to 0.02)	0.26	0.52	0.00 (-0.03 to 0.02)	0.76	0.76	0.00 (-0.24 to 0.24)	0.99	0.99	-0.01 (-0.06 to 0.05)	0.77	0.77	0.00 (0.00 to 0.01)	0.60	0.60	0.00 (0.00 to 0.01)	0.45	0.45
group_char		0.030	0.060		0.83	0.83		0.62	0.76		0.45	0.91		0.009	0.036		0.052	0.070		0.17	0.33
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.53 (-1.2 to 0.20)			-0.54 (-2.5 to 1.4)			0.36 (-0.58 to 1.3)			-1.3 (-7.2 to 4.6)			2.0 (0.53 to 3.4)			-0.22 (-0.43 to -0.01)			-0.35 (-0.74 to 0.05)
H3000’s	0.48 (-0.21 to 1.2)			-0.01 (-1.8 to 1.8)			-0.11 (-1.0 to 0.79)			-3.8 (-9.6 to 2.1)			-0.04 (-1.4 to 1.4)			0.02 (-0.18 to 0.23)			0.00 (-0.38 to 0.37)
mean_MLexc_COV * group_char		0.17	0.22		0.66	0.83		0.50	0.76		0.10	0.41		0.48	0.64		0.018	0.035		0.30	0.40
mean_MLexc_COV * H2000’s	0.01 (-0.01 to 0.04)			0.02 (-0.05 to 0.09)			-0.01 (-0.04 to 0.03)			0.00 (-0.39 to 0.39)			-0.04 (-0.12 to 0.05)			0.00 (-0.01 to 0.01)			0.00 (-0.01 to 0.01)
mean_MLexc_COV * H3000’s	-0.01 (-0.04 to 0.01)			-0.01 (-0.08 to 0.05)			-0.02 (-0.05 to 0.01)			0.37 (0.00 to 0.75)			0.02 (-0.06 to 0.10)			-0.01 (-0.02 to 0.00)			-0.01 (-0.02 to 0.00)
subj_char.sd__(Intercept)	0.88 (NA to NA)			2.4 (NA to NA)			1.2 (NA to NA)			2.5 (NA to NA)			1.1 (NA to NA)			0.27 (NA to NA)			0.53 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.69 (NA to NA)			0.33 (NA to NA)			4.8 (NA to NA)			0.89 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0713, R2c: 0.9205

alpha_avg_power R2m: 0.0054, R2c: 0.9218

beta_avg_power R2m: 0.0442, R2c: 0.9268

theta_div_beta R2m: 0.0723, R2c: 0.268

log_theta_div_beta R2m: 0.1646, R2c: 0.675

aperiodic_exp R2m: 0.1081, R2c: 0.9428

aperiodic_offset R2m: 0.077, R2c: 0.9697

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_div_beta for Cluster: 13
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.56 (0.12 to 1.0)	0.014	0.054	3.3 (2.1 to 4.4)	<0.001	<0.001	1.6 (1.0 to 2.1)	<0.001	<0.001	0.65 (-3.1 to 4.4)	0.74	0.94	0.81 (-0.05 to 1.7)	0.066	0.26	1.1 (0.98 to 1.2)	<0.001	<0.001	-0.64 (-0.88 to -0.39)	<0.001	<0.001
mean_MLexc_mean	0.14 (-2.7 to 3.0)	0.92	0.92	4.4 (-2.5 to 11)	0.21	0.29	3.0 (-0.42 to 6.4)	0.086	0.17	-1.7 (-47 to 44)	0.94	0.94	1.6 (-7.4 to 11)	0.73	0.73	-0.21 (-0.96 to 0.53)	0.58	0.58	-0.88 (-1.9 to 0.13)	0.089	0.12
group_char		0.50	0.67		0.62	0.62		0.31	0.41		0.18	0.72		0.21	0.41		0.030	0.060		0.078	0.12
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.22 (-0.91 to 0.48)			-0.20 (-2.0 to 1.6)			0.25 (-0.65 to 1.1)			-1.6 (-7.1 to 3.9)			1.2 (-0.12 to 2.5)			-0.27 (-0.48 to -0.07)			-0.45 (-0.84 to -0.06)
H3000’s	0.21 (-0.44 to 0.87)			-0.82 (-2.5 to 0.88)			-0.45 (-1.3 to 0.39)			3.2 (-1.9 to 8.4)			0.45 (-0.77 to 1.7)			-0.16 (-0.35 to 0.04)			-0.15 (-0.52 to 0.22)
mean_MLexc_mean * group_char		0.31	0.62		0.13	0.25		0.94	0.94		0.70	0.94		0.47	0.63		0.41	0.54		0.44	0.44
mean_MLexc_mean * H2000’s	-1.6 (-5.3 to 2.1)			-1.4 (-10 to 7.6)			-0.36 (-4.8 to 4.1)			3.4 (-56 to 63)			3.3 (-8.6 to 15)			0.46 (-0.51 to 1.4)			0.87 (-0.46 to 2.2)
mean_MLexc_mean * H3000’s	0.90 (-2.7 to 4.5)			6.4 (-2.4 to 15)			0.32 (-4.0 to 4.6)			-17 (-74 to 40)			-3.2 (-15 to 8.2)			0.64 (-0.30 to 1.6)			0.59 (-0.70 to 1.9)
subj_char.sd__(Intercept)	0.88 (NA to NA)			2.3 (NA to NA)			1.2 (NA to NA)			2.5 (NA to NA)			1.1 (NA to NA)			0.27 (NA to NA)			0.53 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.67 (NA to NA)			0.33 (NA to NA)			4.9 (NA to NA)			0.90 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0707, R2c: 0.9193

alpha_avg_power R2m: 0.0138, R2c: 0.9251

beta_avg_power R2m: 0.0489, R2c: 0.9293

theta_div_beta R2m: 0.0487, R2c: 0.2454

log_theta_div_beta R2m: 0.1654, R2c: 0.6711

aperiodic_exp R2m: 0.1043, R2c: 0.9407

aperiodic_offset R2m: 0.0763, R2c: 0.9703

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in log_theta_div_beta for Cluster: 13
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.47 (0.05 to 0.90)	0.030	0.12	3.2 (2.0 to 4.3)	<0.001	<0.001	1.6 (1.1 to 2.2)	<0.001	<0.001	0.67 (-2.7 to 4.0)	0.70	0.92	0.87 (0.10 to 1.6)	0.027	0.11	1.1 (0.99 to 1.2)	<0.001	<0.001	-0.65 (-0.89 to -0.41)	<0.001	<0.001
mean_StepDur	0.11 (-0.08 to 0.29)	0.26	0.42	0.47 (0.03 to 0.91)	0.036	0.048	0.18 (-0.04 to 0.40)	0.11	0.15	-0.16 (-3.4 to 3.1)	0.92	0.92	0.08 (-0.53 to 0.68)	0.80	0.80	-0.02 (-0.07 to 0.03)	0.38	0.43	-0.06 (-0.12 to 0.01)	0.085	0.11
group_char		0.42	0.42		0.38	0.38		0.16	0.16		0.036	0.14		0.68	0.80		0.024	0.048		0.078	0.11
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.11 (-0.82 to 0.60)			-0.27 (-2.1 to 1.6)			0.08 (-0.83 to 1.0)			-0.50 (-6.9 to 5.9)			0.63 (-0.77 to 2.0)			-0.29 (-0.50 to -0.08)			-0.44 (-0.83 to -0.05)
H3000’s	0.36 (-0.31 to 1.0)			-1.2 (-3.0 to 0.52)			-0.75 (-1.6 to 0.12)			7.1 (1.3 to 13)			0.15 (-1.2 to 1.4)			-0.14 (-0.33 to 0.06)			-0.07 (-0.44 to 0.30)
mean_StepDur * group_char		0.37	0.42		0.008	0.016		0.073	0.15		0.092	0.18		0.28	0.55		0.43	0.43		0.40	0.40
mean_StepDur * H2000’s	-0.31 (-0.74 to 0.12)			0.11 (-0.92 to 1.1)			0.27 (-0.25 to 0.78)			-1.1 (-8.5 to 6.3)			1.1 (-0.26 to 2.6)			0.07 (-0.04 to 0.18)			0.06 (-0.10 to 0.21)
mean_StepDur * H3000’s	-0.07 (-0.50 to 0.37)			1.6 (0.60 to 2.7)			0.58 (0.06 to 1.1)			-8.0 (-15 to -0.81)			0.09 (-1.3 to 1.5)			0.04 (-0.07 to 0.16)			-0.08 (-0.23 to 0.08)
subj_char.sd__(Intercept)	0.89 (NA to NA)			2.4 (NA to NA)			1.2 (NA to NA)			2.6 (NA to NA)			1.1 (NA to NA)			0.27 (NA to NA)			0.53 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.65 (NA to NA)			0.32 (NA to NA)			4.8 (NA to NA)			0.89 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0696, R2c: 0.9205

alpha_avg_power R2m: 0.0141, R2c: 0.9306

beta_avg_power R2m: 0.0487, R2c: 0.932

theta_div_beta R2m: 0.0706, R2c: 0.2759

log_theta_div_beta R2m: 0.1684, R2c: 0.6735

aperiodic_exp R2m: 0.103, R2c: 0.9405

aperiodic_offset R2m: 0.0777, R2c: 0.9705

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_exp for Cluster: 13
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.55 (0.12 to 0.97)	0.011	0.045	3.6 (2.4 to 4.7)	<0.001	<0.001	1.7 (1.1 to 2.2)	<0.001	<0.001	0.61 (-2.4 to 3.6)	0.69	0.93	0.92 (0.19 to 1.6)	0.013	0.026	1.1 (0.99 to 1.2)	<0.001	<0.001	-0.64 (-0.88 to -0.40)	<0.001	<0.001
mean_UDexc_COV	0.00 (-0.01 to 0.01)	0.74	0.74	0.00 (-0.03 to 0.03)	0.93	0.93	0.01 (-0.01 to 0.03)	0.23	0.31	-0.01 (-0.22 to 0.21)	0.95	0.95	0.00 (-0.04 to 0.04)	0.94	0.94	0.00 (-0.01 to 0.00)	0.32	0.42	0.00 (-0.01 to 0.00)	0.032	0.065
group_char		0.28	0.56		0.58	0.77		0.23	0.31		0.14	0.55		0.006	0.024		0.034	0.067		0.087	0.12
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.27 (-0.94 to 0.40)			-0.42 (-2.2 to 1.4)			0.25 (-0.63 to 1.1)			-1.4 (-6.1 to 3.3)			1.7 (0.54 to 2.8)			-0.27 (-0.47 to -0.07)			-0.42 (-0.80 to -0.04)
H3000’s	0.31 (-0.33 to 0.96)			-0.93 (-2.7 to 0.81)			-0.54 (-1.4 to 0.31)			4.0 (-1.1 to 9.1)			-0.09 (-1.3 to 1.1)			-0.12 (-0.31 to 0.07)			-0.09 (-0.45 to 0.28)
mean_UDexc_COV * group_char		0.73	0.74		0.13	0.25		0.72	0.72		0.57	0.93		0.62	0.83		0.61	0.61		0.50	0.50
mean_UDexc_COV * H2000’s	-0.01 (-0.03 to 0.01)			0.01 (-0.03 to 0.06)			0.00 (-0.02 to 0.02)			0.01 (-0.31 to 0.33)			-0.01 (-0.08 to 0.05)			0.00 (0.00 to 0.01)			0.00 (0.00 to 0.01)
mean_UDexc_COV * H3000’s	0.00 (-0.02 to 0.02)			0.05 (0.00 to 0.10)			0.01 (-0.02 to 0.03)			-0.16 (-0.51 to 0.18)			0.02 (-0.05 to 0.09)			0.00 (0.00 to 0.01)			0.00 (-0.01 to 0.01)
subj_char.sd__(Intercept)	0.89 (NA to NA)			2.4 (NA to NA)			1.2 (NA to NA)			2.4 (NA to NA)			1.1 (NA to NA)			0.27 (NA to NA)			0.53 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.68 (NA to NA)			0.33 (NA to NA)			4.9 (NA to NA)			0.90 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0688, R2c: 0.9196

alpha_avg_power R2m: 0.0057, R2c: 0.927

beta_avg_power R2m: 0.0439, R2c: 0.9289

theta_div_beta R2m: 0.0501, R2c: 0.2361

log_theta_div_beta R2m: 0.1633, R2c: 0.6678

aperiodic_exp R2m: 0.103, R2c: 0.9402

aperiodic_offset R2m: 0.0782, R2c: 0.9709

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_offset for Cluster: 13
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.58 (0.14 to 1.0)	0.009	0.036	3.7 (2.6 to 4.9)	<0.001	<0.001	2.0 (1.4 to 2.5)	<0.001	<0.001	0.44 (-3.0 to 3.9)	0.80	0.96	0.90 (0.11 to 1.7)	0.025	0.055	1.1 (0.93 to 1.2)	<0.001	<0.001	-0.78 (-1.0 to -0.54)	<0.001	<0.001
mean_UDexc_mean	-0.19 (-7.7 to 7.3)	0.96	0.96	-5.7 (-24 to 13)	0.55	0.70	-6.8 (-16 to 1.9)	0.13	0.17	3.4 (-126 to 133)	0.96	0.96	1.4 (-23 to 26)	0.91	0.91	1.5 (-0.45 to 3.5)	0.13	0.22	3.4 (0.77 to 6.0)	0.011	0.023
group_char		0.074	0.15		0.70	0.70		0.81	0.81		0.84	0.96		0.028	0.055		0.16	0.22		0.25	0.34
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.49 (-1.2 to 0.19)			-0.24 (-2.1 to 1.6)			0.26 (-0.62 to 1.1)			-1.3 (-6.6 to 4.0)			1.7 (0.45 to 2.9)			-0.20 (-0.40 to 0.01)			-0.33 (-0.71 to 0.06)
H3000’s	0.35 (-0.30 to 1.0)			0.56 (-1.2 to 2.3)			-0.01 (-0.85 to 0.83)			0.30 (-4.9 to 5.5)			0.61 (-0.59 to 1.8)			-0.06 (-0.25 to 0.14)			-0.11 (-0.48 to 0.25)
mean_UDexc_mean * group_char		0.46	0.62		0.064	0.13		0.044	0.088		0.81	0.96		0.66	0.88		0.41	0.41		0.39	0.39
mean_UDexc_mean * H2000’s	5.2 (-6.1 to 16)			-0.57 (-28 to 27)			0.24 (-13 to 13)			-2.7 (-196 to 191)			-7.4 (-44 to 29)			-1.6 (-4.6 to 1.4)			-2.4 (-6.3 to 1.5)
mean_UDexc_mean * H3000’s	-2.2 (-14 to 9.2)			-30 (-59 to -2.3)			-15 (-28 to -1.8)			56 (-138 to 249)			-17 (-54 to 20)			-1.8 (-4.9 to 1.2)			0.13 (-3.8 to 4.1)
subj_char.sd__(Intercept)	0.89 (NA to NA)			2.4 (NA to NA)			1.2 (NA to NA)			2.5 (NA to NA)			1.1 (NA to NA)			0.27 (NA to NA)			0.53 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.67 (NA to NA)			0.32 (NA to NA)			4.9 (NA to NA)			0.90 (NA to NA)			0.07 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0693, R2c: 0.9201

alpha_avg_power R2m: 0.0079, R2c: 0.9285

beta_avg_power R2m: 0.0513, R2c: 0.9349

theta_div_beta R2m: 0.0459, R2c: 0.2368

log_theta_div_beta R2m: 0.1655, R2c: 0.665

aperiodic_exp R2m: 0.104, R2c: 0.9402

aperiodic_offset R2m: 0.078, R2c: 0.9719

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 13
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.49 (0.07 to 0.91)	0.021	0.085	3.2 (2.1 to 4.3)	<0.001	<0.001	1.7 (1.1 to 2.2)	<0.001	<0.001	0.65 (-2.2 to 3.6)	0.66	0.88	0.87 (0.17 to 1.6)	0.015	0.059	1.1 (0.99 to 1.2)	<0.001	<0.001	-0.66 (-0.90 to -0.42)	<0.001	<0.001
mean_StanceDur	0.06 (-0.05 to 0.18)	0.25	0.39	0.29 (0.02 to 0.55)	0.033	0.044	0.11 (-0.02 to 0.24)	0.11	0.18	-0.10 (-2.0 to 1.8)	0.92	0.92	0.05 (-0.31 to 0.42)	0.77	0.77	-0.01 (-0.04 to 0.02)	0.39	0.46	-0.03 (-0.07 to 0.00)	0.084	0.11
group_char		0.39	0.39		0.52	0.52		0.20	0.20		0.026	0.11		0.44	0.58		0.027	0.054		0.084	0.11
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.16 (-0.84 to 0.53)			-0.22 (-2.0 to 1.6)			0.15 (-0.74 to 1.0)			-0.77 (-6.1 to 4.5)			0.80 (-0.43 to 2.0)			-0.28 (-0.48 to -0.07)			-0.43 (-0.81 to -0.04)
H3000’s	0.33 (-0.31 to 0.98)			-0.96 (-2.6 to 0.73)			-0.63 (-1.5 to 0.20)			6.1 (1.2 to 11)			0.18 (-0.97 to 1.3)			-0.13 (-0.32 to 0.06)			-0.08 (-0.44 to 0.28)
mean_StanceDur * group_char		0.35	0.39		0.011	0.022		0.14	0.18		0.087	0.17		0.26	0.52		0.46	0.46		0.45	0.45
mean_StanceDur * H2000’s	-0.19 (-0.44 to 0.07)			0.03 (-0.58 to 0.63)			0.13 (-0.17 to 0.44)			-0.58 (-4.9 to 3.8)			0.69 (-0.14 to 1.5)			0.04 (-0.03 to 0.11)			0.03 (-0.06 to 0.12)
mean_StanceDur * H3000’s	-0.02 (-0.28 to 0.24)			0.93 (0.31 to 1.5)			0.30 (-0.01 to 0.61)			-4.8 (-9.2 to -0.54)			0.03 (-0.80 to 0.86)			0.03 (-0.04 to 0.09)			-0.04 (-0.13 to 0.05)
subj_char.sd__(Intercept)	0.89 (NA to NA)			2.4 (NA to NA)			1.2 (NA to NA)			2.6 (NA to NA)			1.1 (NA to NA)			0.27 (NA to NA)			0.53 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.65 (NA to NA)			0.32 (NA to NA)			4.8 (NA to NA)			0.89 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0697, R2c: 0.9205

alpha_avg_power R2m: 0.0127, R2c: 0.9311

beta_avg_power R2m: 0.0474, R2c: 0.9314

theta_div_beta R2m: 0.0701, R2c: 0.2756

log_theta_div_beta R2m: 0.1688, R2c: 0.6739

aperiodic_exp R2m: 0.103, R2c: 0.9404

aperiodic_offset R2m: 0.0775, R2c: 0.9704

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 13
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.47 (0.05 to 0.90)	0.030	0.12	3.2 (2.0 to 4.3)	<0.001	<0.001	1.6 (1.1 to 2.2)	<0.001	<0.001	0.67 (-2.7 to 4.0)	0.70	0.92	0.87 (0.10 to 1.6)	0.027	0.11	1.1 (0.99 to 1.2)	<0.001	<0.001	-0.65 (-0.89 to -0.41)	<0.001	<0.001
mean_GaitCycleDur	0.05 (-0.04 to 0.15)	0.25	0.42	0.23 (0.01 to 0.45)	0.036	0.048	0.09 (-0.02 to 0.20)	0.11	0.15	-0.08 (-1.7 to 1.5)	0.92	0.92	0.04 (-0.26 to 0.34)	0.81	0.81	-0.01 (-0.04 to 0.01)	0.38	0.42	-0.03 (-0.06 to 0.00)	0.085	0.11
group_char		0.42	0.42		0.38	0.38		0.16	0.16		0.034	0.14		0.67	0.81		0.024	0.048		0.077	0.11
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.11 (-0.82 to 0.60)			-0.27 (-2.1 to 1.6)			0.08 (-0.83 to 1.0)			-0.51 (-6.9 to 5.9)			0.63 (-0.76 to 2.0)			-0.29 (-0.50 to -0.08)			-0.44 (-0.83 to -0.05)
H3000’s	0.37 (-0.30 to 1.0)			-1.2 (-3.0 to 0.52)			-0.75 (-1.6 to 0.11)			7.2 (1.4 to 13)			0.14 (-1.2 to 1.4)			-0.14 (-0.33 to 0.06)			-0.07 (-0.44 to 0.30)
mean_GaitCycleDur * group_char		0.37	0.42		0.008	0.016		0.071	0.14		0.088	0.18		0.28	0.57		0.42	0.42		0.39	0.39
mean_GaitCycleDur * H2000’s	-0.15 (-0.37 to 0.06)			0.06 (-0.46 to 0.57)			0.13 (-0.12 to 0.39)			-0.56 (-4.2 to 3.1)			0.57 (-0.14 to 1.3)			0.04 (-0.02 to 0.09)			0.03 (-0.05 to 0.11)
mean_GaitCycleDur * H3000’s	-0.04 (-0.25 to 0.18)			0.82 (0.30 to 1.3)			0.29 (0.03 to 0.55)			-4.0 (-7.6 to -0.44)			0.05 (-0.66 to 0.75)			0.02 (-0.04 to 0.08)			-0.04 (-0.12 to 0.04)
subj_char.sd__(Intercept)	0.89 (NA to NA)			2.4 (NA to NA)			1.2 (NA to NA)			2.6 (NA to NA)			1.1 (NA to NA)			0.27 (NA to NA)			0.53 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.65 (NA to NA)			0.32 (NA to NA)			4.8 (NA to NA)			0.89 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0696, R2c: 0.9205

alpha_avg_power R2m: 0.0141, R2c: 0.9306

beta_avg_power R2m: 0.0487, R2c: 0.932

theta_div_beta R2m: 0.0711, R2c: 0.2768

log_theta_div_beta R2m: 0.1683, R2c: 0.6734

aperiodic_exp R2m: 0.103, R2c: 0.9406

aperiodic_offset R2m: 0.0777, R2c: 0.9705

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 13
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.59 (0.18 to 1.0)	0.005	0.020	3.7 (2.6 to 4.8)	<0.001	<0.001	1.9 (1.4 to 2.5)	<0.001	<0.001	0.43 (-2.4 to 3.2)	0.76	0.93	0.99 (0.31 to 1.7)	0.004	0.017	1.1 (0.95 to 1.2)	<0.001	<0.001	-0.76 (-1.0 to -0.52)	<0.001	<0.001
mean_PeakUpDownVel_mean	-0.09 (-0.65 to 0.47)	0.76	0.76	-0.62 (-2.0 to 0.75)	0.37	0.50	-0.50 (-1.1 to 0.14)	0.13	0.17	0.42 (-9.5 to 10)	0.93	0.93	-0.24 (-2.1 to 1.6)	0.80	0.87	0.10 (-0.05 to 0.25)	0.17	0.23	0.24 (0.04 to 0.43)	0.016	0.032
group_char		0.11	0.23		0.78	0.78		0.72	0.72		0.74	0.93		0.015	0.030		0.13	0.23		0.21	0.21
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.47 (-1.1 to 0.19)			-0.22 (-2.0 to 1.5)			0.29 (-0.56 to 1.1)			-1.6 (-6.2 to 2.9)			1.6 (0.50 to 2.7)			-0.20 (-0.40 to -0.01)			-0.34 (-0.72 to 0.04)
H3000’s	0.27 (-0.36 to 0.89)			0.42 (-1.2 to 2.1)			-0.06 (-0.86 to 0.75)			-0.04 (-4.3 to 4.2)			0.39 (-0.65 to 1.4)			-0.09 (-0.27 to 0.10)			-0.14 (-0.50 to 0.22)
mean_PeakUpDownVel_mean * group_char		0.63	0.76		0.050	0.10		0.026	0.052		0.65	0.93		0.87	0.87		0.54	0.54		0.21	0.21
mean_PeakUpDownVel_mean * H2000’s	0.42 (-0.45 to 1.3)			-0.09 (-2.2 to 2.0)			-0.09 (-1.1 to 0.90)			1.1 (-14 to 16)			-0.40 (-3.3 to 2.5)			-0.13 (-0.36 to 0.10)			-0.17 (-0.47 to 0.12)
mean_PeakUpDownVel_mean * H3000’s	0.10 (-0.72 to 0.92)			-2.3 (-4.3 to -0.28)			-1.2 (-2.1 to -0.26)			6.4 (-7.9 to 21)			-0.74 (-3.4 to 2.0)			-0.07 (-0.29 to 0.15)			0.11 (-0.18 to 0.39)
subj_char.sd__(Intercept)	0.89 (NA to NA)			2.4 (NA to NA)			1.2 (NA to NA)			2.4 (NA to NA)			1.1 (NA to NA)			0.27 (NA to NA)			0.53 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.66 (NA to NA)			0.31 (NA to NA)			4.9 (NA to NA)			0.90 (NA to NA)			0.07 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0689, R2c: 0.9199

alpha_avg_power R2m: 0.0093, R2c: 0.9292

beta_avg_power R2m: 0.0525, R2c: 0.9364

theta_div_beta R2m: 0.0507, R2c: 0.2361

log_theta_div_beta R2m: 0.1649, R2c: 0.6654

aperiodic_exp R2m: 0.1036, R2c: 0.9403

aperiodic_offset R2m: 0.0786, R2c: 0.9726 ## LME EEG ~ 1+kin+group

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_avg_power for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.51 (0.19 to 0.82)	0.002	0.005	3.8 (2.9 to 4.8)	<0.001	<0.001	2.3 (1.8 to 2.8)	<0.001	<0.001	0.03 (-0.77 to 0.83)	0.94	0.94	1.1 (0.44 to 1.9)	0.002	0.005	1.2 (1.1 to 1.2)	<0.001	<0.001	-0.78 (-0.98 to -0.58)	<0.001	<0.001
mean_APexc_COV	0.00 (-0.01 to 0.01)	0.95	0.95	0.01 (-0.01 to 0.02)	0.47	0.70	0.01 (0.00 to 0.02)	0.069	0.10	0.01 (-0.03 to 0.06)	0.52	0.77	0.00 (-0.03 to 0.03)	0.91	0.91	0.00 (0.00 to 0.00)	0.53	0.53	0.00 (0.00 to 0.00)	0.15	0.17
group_char		0.57	0.85		0.77	0.77		0.82	0.82		0.43	0.77		0.12	0.19		0.042	0.064		0.17	0.17
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.20 (-0.68 to 0.27)			-0.40 (-1.8 to 1.0)			0.24 (-0.52 to 1.0)			-0.24 (-0.88 to 0.40)			0.85 (-0.04 to 1.7)			-0.15 (-0.27 to -0.03)			-0.29 (-0.60 to 0.01)
H3000’s	0.06 (-0.41 to 0.52)			-0.48 (-1.9 to 0.93)			0.15 (-0.59 to 0.89)			0.17 (-0.52 to 0.86)			0.70 (-0.19 to 1.6)			-0.07 (-0.19 to 0.04)			-0.12 (-0.42 to 0.18)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.54 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)			1.0 (NA to NA)			0.05 (NA to NA)			0.07 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0148, R2c: 0.9329

alpha_avg_power R2m: 0.0057, R2c: 0.9492

beta_avg_power R2m: 0.0098, R2c: 0.9517

theta_div_beta R2m: 0.009, R2c: 0.009

log_theta_div_beta R2m: 0.0467, R2c: 0.6964

aperiodic_exp R2m: 0.0818, R2c: 0.9566

aperiodic_offset R2m: 0.0496, R2c: 0.9829

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in alpha_avg_power for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.61 (0.29 to 0.92)	<0.001	<0.001	3.7 (2.7 to 4.6)	<0.001	<0.001	2.2 (1.7 to 2.7)	<0.001	<0.001	1.0 (0.10 to 1.9)	0.030	0.089	0.91 (0.18 to 1.6)	0.015	0.045	1.2 (1.1 to 1.3)	<0.001	<0.001	-0.79 (-0.98 to -0.59)	<0.001	<0.001
mean_APexc_mean	-1.7 (-3.7 to 0.22)	0.083	0.12	4.6 (-0.60 to 9.8)	0.083	0.12	3.7 (1.0 to 6.3)	0.006	0.010	-14 (-29 to 1.6)	0.080	0.12	4.9 (-3.8 to 14)	0.27	0.27	-0.27 (-0.69 to 0.14)	0.20	0.20	-0.37 (-1.0 to 0.28)	0.27	0.27
group_char		0.56	0.56		0.86	0.86		0.65	0.65		0.44	0.44		0.074	0.11		0.032	0.049		0.14	0.22
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.22 (-0.69 to 0.25)			-0.31 (-1.8 to 1.1)			0.32 (-0.44 to 1.1)			-0.29 (-0.89 to 0.31)			0.91 (0.03 to 1.8)			-0.16 (-0.28 to -0.04)			-0.31 (-0.61 to 0.00)
H3000’s	0.03 (-0.43 to 0.49)			-0.35 (-1.8 to 1.1)			0.28 (-0.46 to 1.0)			0.10 (-0.51 to 0.71)			0.78 (-0.08 to 1.6)			-0.08 (-0.20 to 0.04)			-0.14 (-0.44 to 0.16)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.54 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)			1.0 (NA to NA)			0.05 (NA to NA)			0.07 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0158, R2c: 0.9338

alpha_avg_power R2m: 0.0063, R2c: 0.9502

beta_avg_power R2m: 0.0104, R2c: 0.9534

theta_div_beta R2m: 0.0181, R2c: 0.0181

log_theta_div_beta R2m: 0.0484, R2c: 0.6981

aperiodic_exp R2m: 0.0822, R2c: 0.9567

aperiodic_offset R2m: 0.0496, R2c: 0.9827

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in beta_avg_power for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.41 (0.10 to 0.72)	0.011	0.032	4.1 (3.1 to 5.0)	<0.001	<0.001	2.5 (2.0 to 3.0)	<0.001	<0.001	-0.02 (-0.79 to 0.76)	0.97	0.97	1.5 (0.77 to 2.2)	<0.001	<0.001	1.1 (1.1 to 1.2)	<0.001	<0.001	-0.84 (-1.0 to -0.64)	<0.001	<0.001
mean_MLexc_COV	0.01 (0.00 to 0.01)	0.054	0.081	-0.01 (-0.03 to 0.01)	0.44	0.66	-0.01 (-0.02 to 0.00)	0.092	0.14	0.02 (-0.03 to 0.07)	0.42	0.63	-0.02 (-0.05 to 0.01)	0.19	0.19	0.00 (0.00 to 0.00)	0.30	0.30	0.00 (0.00 to 0.00)	0.10	0.15
group_char		0.57	0.57		0.81	0.81		0.73	0.73		0.34	0.63		0.10	0.15		0.037	0.055		0.15	0.15
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.20 (-0.67 to 0.27)			-0.36 (-1.8 to 1.1)			0.28 (-0.47 to 1.0)			-0.15 (-0.73 to 0.44)			0.85 (-0.02 to 1.7)			-0.16 (-0.28 to -0.04)			-0.30 (-0.61 to 0.00)
H3000’s	0.06 (-0.40 to 0.51)			-0.42 (-1.8 to 0.98)			0.22 (-0.52 to 0.96)			0.31 (-0.26 to 0.88)			0.71 (-0.14 to 1.6)			-0.08 (-0.19 to 0.04)			-0.13 (-0.43 to 0.16)
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.54 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)			1.0 (NA to NA)			0.05 (NA to NA)			0.07 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0165, R2c: 0.9336

alpha_avg_power R2m: 0.0058, R2c: 0.9492

beta_avg_power R2m: 0.0096, R2c: 0.9518

theta_div_beta R2m: 0.0098, R2c: 0.0098

log_theta_div_beta R2m: 0.0501, R2c: 0.6976

aperiodic_exp R2m: 0.0825, R2c: 0.9564

aperiodic_offset R2m: 0.0501, R2c: 0.9828

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_div_beta for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.64 (0.34 to 0.95)	<0.001	<0.001	3.8 (2.8 to 4.7)	<0.001	<0.001	2.2 (1.7 to 2.7)	<0.001	<0.001	0.63 (-0.07 to 1.3)	0.077	0.23	0.91 (0.26 to 1.6)	0.006	0.018	1.2 (1.1 to 1.3)	<0.001	<0.001	-0.77 (-0.96 to -0.57)	<0.001	<0.001
mean_MLexc_mean	-1.6 (-2.6 to -0.72)	<0.001	<0.001	2.0 (-0.47 to 4.5)	0.11	0.17	2.1 (0.82 to 3.3)	0.001	0.002	-4.4 (-12 to 2.8)	0.23	0.34	3.3 (-0.85 to 7.4)	0.12	0.12	-0.22 (-0.42 to -0.03)	0.026	0.038	-0.49 (-0.80 to -0.19)	0.002	0.002
group_char		0.60	0.60		0.81	0.81		0.74	0.74		0.37	0.37		0.11	0.12		0.039	0.039		0.16	0.16
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.19 (-0.66 to 0.28)			-0.37 (-1.8 to 1.1)			0.27 (-0.49 to 1.0)			-0.12 (-0.71 to 0.46)			0.84 (-0.03 to 1.7)			-0.15 (-0.27 to -0.03)			-0.30 (-0.60 to 0.01)
H3000’s	0.06 (-0.40 to 0.52)			-0.42 (-1.8 to 0.98)			0.22 (-0.52 to 0.97)			0.31 (-0.26 to 0.88)			0.71 (-0.14 to 1.6)			-0.08 (-0.19 to 0.04)			-0.13 (-0.43 to 0.16)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.54 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)			0.99 (NA to NA)			0.05 (NA to NA)			0.07 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0187, R2c: 0.9367

alpha_avg_power R2m: 0.0062, R2c: 0.95

beta_avg_power R2m: 0.011, R2c: 0.9545

theta_div_beta R2m: 0.0125, R2c: 0.0125

log_theta_div_beta R2m: 0.0503, R2c: 0.6994

aperiodic_exp R2m: 0.0829, R2c: 0.9574

aperiodic_offset R2m: 0.0506, R2c: 0.9833

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in log_theta_div_beta for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.65 (0.33 to 0.96)	<0.001	<0.001	3.7 (2.8 to 4.7)	<0.001	<0.001	2.2 (1.7 to 2.7)	<0.001	<0.001	0.82 (-0.10 to 1.7)	0.080	0.24	0.78 (0.07 to 1.5)	0.031	0.078	1.2 (1.1 to 1.3)	<0.001	<0.001	-0.77 (-0.97 to -0.58)	<0.001	<0.001
mean_StepDur	-0.15 (-0.25 to -0.05)	0.004	0.007	0.23 (-0.04 to 0.51)	0.10	0.15	0.18 (0.04 to 0.32)	0.012	0.018	-0.60 (-1.5 to 0.31)	0.20	0.30	0.43 (-0.05 to 0.91)	0.078	0.078	-0.02 (-0.04 to 0.00)	0.046	0.046	-0.04 (-0.07 to 0.00)	0.031	0.047
group_char		0.56	0.56		0.86	0.86		0.67	0.67		0.44	0.44		0.061	0.078		0.032	0.046		0.14	0.14
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.23 (-0.70 to 0.25)			-0.32 (-1.8 to 1.1)			0.31 (-0.44 to 1.1)			-0.25 (-0.85 to 0.35)			0.93 (0.04 to 1.8)			-0.16 (-0.28 to -0.04)			-0.31 (-0.61 to 0.00)
H3000’s	0.02 (-0.44 to 0.48)			-0.35 (-1.8 to 1.1)			0.26 (-0.48 to 1.0)			0.16 (-0.45 to 0.76)			0.86 (-0.01 to 1.7)			-0.08 (-0.20 to 0.03)			-0.14 (-0.44 to 0.15)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.54 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)			1.0 (NA to NA)			0.05 (NA to NA)			0.07 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0168, R2c: 0.9357

alpha_avg_power R2m: 0.0058, R2c: 0.9492

beta_avg_power R2m: 0.0097, R2c: 0.952

theta_div_beta R2m: 0.0131, R2c: 0.0131

log_theta_div_beta R2m: 0.0508, R2c: 0.6968

aperiodic_exp R2m: 0.082, R2c: 0.9568

aperiodic_offset R2m: 0.0497, R2c: 0.983

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_exp for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.59 (0.29 to 0.89)	<0.001	<0.001	3.8 (2.9 to 4.8)	<0.001	<0.001	2.3 (1.8 to 2.8)	<0.001	<0.001	0.49 (-0.17 to 1.1)	0.15	0.42	1.1 (0.46 to 1.7)	<0.001	0.002	1.2 (1.1 to 1.3)	<0.001	<0.001	-0.78 (-0.97 to -0.58)	<0.001	<0.001
mean_UDexc_COV	-0.01 (-0.01 to 0.00)	0.015	0.022	0.01 (-0.01 to 0.02)	0.27	0.40	0.01 (0.00 to 0.02)	0.003	0.005	-0.02 (-0.06 to 0.03)	0.42	0.42	0.01 (-0.02 to 0.03)	0.53	0.53	0.00 (0.00 to 0.00)	0.023	0.034	0.00 (0.00 to 0.00)	0.004	0.006
group_char		0.57	0.57		0.80	0.80		0.74	0.74		0.32	0.42		0.10	0.16		0.039	0.039		0.16	0.16
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.20 (-0.67 to 0.27)			-0.37 (-1.8 to 1.1)			0.28 (-0.48 to 1.0)			-0.14 (-0.72 to 0.45)			0.86 (-0.02 to 1.7)			-0.15 (-0.27 to -0.03)			-0.30 (-0.61 to 0.01)
H3000’s	0.06 (-0.39 to 0.52)			-0.43 (-1.8 to 0.97)			0.21 (-0.53 to 0.95)			0.32 (-0.25 to 0.89)			0.70 (-0.15 to 1.6)			-0.08 (-0.19 to 0.04)			-0.13 (-0.43 to 0.17)
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.54 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)			1.0 (NA to NA)			0.05 (NA to NA)			0.07 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0164, R2c: 0.9346

alpha_avg_power R2m: 0.0058, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9533

theta_div_beta R2m: 0.0098, R2c: 0.0098

log_theta_div_beta R2m: 0.0472, R2c: 0.6967

aperiodic_exp R2m: 0.0825, R2c: 0.9576

aperiodic_offset R2m: 0.0501, R2c: 0.9833

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_offset for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.36 (0.05 to 0.67)	0.021	0.031	4.1 (3.2 to 5.0)	<0.001	<0.001	2.6 (2.1 to 3.0)	<0.001	<0.001	0.02 (-0.70 to 0.74)	0.95	0.95	1.5 (0.89 to 2.2)	<0.001	<0.001	1.1 (1.1 to 1.2)	<0.001	<0.001	-0.84 (-1.0 to -0.65)	<0.001	<0.001
mean_UDexc_mean	6.2 (3.2 to 9.3)	<0.001	<0.001	-6.0 (-14 to 2.4)	0.16	0.24	-7.0 (-11 to -2.7)	0.001	0.002	10 (-16 to 36)	0.44	0.65	-15 (-29 to -1.2)	0.034	0.051	0.63 (-0.03 to 1.3)	0.062	0.062	1.6 (0.55 to 2.6)	0.003	0.004
group_char		0.58	0.58		0.82	0.82		0.71	0.71		0.36	0.65		0.091	0.091		0.036	0.054		0.15	0.15
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.20 (-0.68 to 0.27)			-0.36 (-1.8 to 1.1)			0.29 (-0.46 to 1.0)			-0.16 (-0.74 to 0.42)			0.87 (0.00 to 1.7)			-0.16 (-0.28 to -0.04)			-0.30 (-0.61 to 0.00)
H3000’s	0.05 (-0.41 to 0.51)			-0.41 (-1.8 to 0.99)			0.23 (-0.50 to 0.97)			0.29 (-0.28 to 0.86)			0.73 (-0.11 to 1.6)			-0.08 (-0.19 to 0.04)			-0.14 (-0.43 to 0.16)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.54 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)			0.99 (NA to NA)			0.05 (NA to NA)			0.07 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0192, R2c: 0.9375

alpha_avg_power R2m: 0.006, R2c: 0.9494

beta_avg_power R2m: 0.011, R2c: 0.9527

theta_div_beta R2m: 0.0096, R2c: 0.0096

log_theta_div_beta R2m: 0.0529, R2c: 0.7002

aperiodic_exp R2m: 0.0825, R2c: 0.9571

aperiodic_offset R2m: 0.0501, R2c: 0.9834

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.62 (0.32 to 0.93)	<0.001	<0.001	3.8 (2.8 to 4.7)	<0.001	<0.001	2.3 (1.8 to 2.7)	<0.001	<0.001	0.76 (-0.02 to 1.5)	0.056	0.17	0.86 (0.20 to 1.5)	0.011	0.033	1.2 (1.1 to 1.3)	<0.001	<0.001	-0.78 (-0.97 to -0.58)	<0.001	<0.001
mean_StanceDur	-0.09 (-0.15 to -0.03)	0.004	0.005	0.14 (-0.02 to 0.31)	0.084	0.13	0.11 (0.03 to 0.19)	0.009	0.013	-0.39 (-0.94 to 0.16)	0.16	0.24	0.25 (-0.03 to 0.53)	0.081	0.081	-0.01 (-0.03 to 0.00)	0.032	0.032	-0.02 (-0.04 to 0.00)	0.018	0.027
group_char		0.56	0.56		0.85	0.85		0.68	0.68		0.42	0.42		0.066	0.081		0.032	0.032		0.14	0.14
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.22 (-0.69 to 0.25)			-0.33 (-1.8 to 1.1)			0.31 (-0.45 to 1.1)			-0.24 (-0.84 to 0.35)			0.92 (0.03 to 1.8)			-0.16 (-0.28 to -0.04)			-0.31 (-0.61 to 0.00)
H3000’s	0.03 (-0.43 to 0.49)			-0.36 (-1.8 to 1.0)			0.25 (-0.49 to 0.99)			0.17 (-0.42 to 0.76)			0.84 (-0.03 to 1.7)			-0.08 (-0.20 to 0.03)			-0.14 (-0.44 to 0.15)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.54 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)			1.0 (NA to NA)			0.05 (NA to NA)			0.07 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0169, R2c: 0.9358

alpha_avg_power R2m: 0.0059, R2c: 0.9493

beta_avg_power R2m: 0.0097, R2c: 0.9521

theta_div_beta R2m: 0.0141, R2c: 0.0141

log_theta_div_beta R2m: 0.0507, R2c: 0.6966

aperiodic_exp R2m: 0.082, R2c: 0.957

aperiodic_offset R2m: 0.0497, R2c: 0.9831

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.65 (0.33 to 0.96)	<0.001	<0.001	3.7 (2.8 to 4.7)	<0.001	<0.001	2.2 (1.7 to 2.7)	<0.001	<0.001	0.81 (-0.10 to 1.7)	0.081	0.24	0.78 (0.07 to 1.5)	0.031	0.078	1.2 (1.1 to 1.3)	<0.001	<0.001	-0.77 (-0.97 to -0.58)	<0.001	<0.001
mean_GaitCycleDur	-0.07 (-0.13 to -0.02)	0.004	0.007	0.12 (-0.02 to 0.25)	0.10	0.15	0.09 (0.02 to 0.16)	0.012	0.018	-0.30 (-0.76 to 0.16)	0.20	0.30	0.21 (-0.02 to 0.45)	0.078	0.078	-0.01 (-0.02 to 0.00)	0.047	0.047	-0.02 (-0.04 to 0.00)	0.031	0.047
group_char		0.56	0.56		0.86	0.86		0.67	0.67		0.44	0.44		0.062	0.078		0.032	0.047		0.14	0.14
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.23 (-0.70 to 0.25)			-0.32 (-1.8 to 1.1)			0.31 (-0.44 to 1.1)			-0.25 (-0.85 to 0.35)			0.93 (0.03 to 1.8)			-0.16 (-0.28 to -0.04)			-0.31 (-0.61 to 0.00)
H3000’s	0.02 (-0.44 to 0.48)			-0.35 (-1.8 to 1.1)			0.26 (-0.48 to 1.0)			0.16 (-0.45 to 0.76)			0.86 (-0.01 to 1.7)			-0.08 (-0.20 to 0.03)			-0.14 (-0.44 to 0.15)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.54 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)			1.0 (NA to NA)			0.05 (NA to NA)			0.07 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0168, R2c: 0.9357

alpha_avg_power R2m: 0.0058, R2c: 0.9492

beta_avg_power R2m: 0.0097, R2c: 0.952

theta_div_beta R2m: 0.013, R2c: 0.013

log_theta_div_beta R2m: 0.0508, R2c: 0.6967

aperiodic_exp R2m: 0.082, R2c: 0.9568

aperiodic_offset R2m: 0.0497, R2c: 0.983

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 8
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.40 (0.10 to 0.71)	0.009	0.013	4.1 (3.1 to 5.0)	<0.001	<0.001	2.5 (2.0 to 3.0)	<0.001	<0.001	0.01 (-0.60 to 0.61)	0.98	0.98	1.4 (0.84 to 2.0)	<0.001	<0.001	1.1 (1.1 to 1.2)	<0.001	<0.001	-0.83 (-1.0 to -0.64)	<0.001	<0.001
mean_PeakUpDownVel_mean	0.45 (0.22 to 0.68)	<0.001	<0.001	-0.52 (-1.1 to 0.09)	0.10	0.14	-0.53 (-0.84 to -0.22)	<0.001	0.001	1.1 (-0.93 to 3.1)	0.29	0.57	-1.1 (-2.2 to -0.11)	0.030	0.045	0.04 (-0.01 to 0.09)	0.093	0.093	0.11 (0.03 to 0.18)	0.005	0.008
group_char		0.57	0.57		0.83	0.83		0.69	0.69		0.38	0.57		0.081	0.081		0.035	0.053		0.15	0.15
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.21 (-0.68 to 0.26)			-0.35 (-1.8 to 1.1)			0.30 (-0.46 to 1.1)			-0.18 (-0.76 to 0.41)			0.89 (0.02 to 1.8)			-0.16 (-0.28 to -0.04)			-0.30 (-0.61 to 0.00)
H3000’s	0.04 (-0.42 to 0.50)			-0.40 (-1.8 to 1.0)			0.24 (-0.49 to 0.98)			0.26 (-0.31 to 0.83)			0.76 (-0.09 to 1.6)			-0.08 (-0.20 to 0.04)			-0.14 (-0.43 to 0.16)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)			0.00 (NA to NA)			1.5 (NA to NA)			0.21 (NA to NA)			0.54 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)			2.1 (NA to NA)			0.99 (NA to NA)			0.05 (NA to NA)			0.07 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0185, R2c: 0.9375

alpha_avg_power R2m: 0.0061, R2c: 0.9497

beta_avg_power R2m: 0.0109, R2c: 0.9531

theta_div_beta R2m: 0.0115, R2c: 0.0115

log_theta_div_beta R2m: 0.0526, R2c: 0.6996

aperiodic_exp R2m: 0.0823, R2c: 0.957

aperiodic_offset R2m: 0.05, R2c: 0.9833

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_avg_power for Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.75 (0.36 to 1.1)	<0.001	<0.001	0.74 (-0.06 to 1.5)	0.070	0.11	0.76 (0.34 to 1.2)	<0.001	0.001	5.2 (-2.8 to 13)	0.20	0.61	1.4 (0.62 to 2.2)	<0.001	0.001	0.95 (0.81 to 1.1)	<0.001	<0.001	-1.0 (-1.4 to -0.67)	<0.001	<0.001
mean_APexc_COV	-0.01 (-0.02 to 0.00)	0.23	0.34	-0.01 (-0.03 to 0.00)	0.17	0.17	0.00 (-0.01 to 0.01)	0.55	0.55	-0.18 (-0.59 to 0.24)	0.41	0.61	-0.03 (-0.06 to 0.01)	0.14	0.21	0.00 (0.00 to 0.00)	0.82	0.82	0.00 (0.00 to 0.00)	0.99	0.99
group_char		0.55	0.55		0.020	0.059		0.13	0.19		0.82	0.82		0.32	0.32		0.80	0.82		0.37	0.56
H1000’s	—			—			—			—			—			—			—
H2000’s	0.23 (-0.31 to 0.77)			1.6 (0.42 to 2.7)			-0.19 (-0.80 to 0.41)			-0.55 (-8.0 to 6.9)			0.64 (-0.21 to 1.5)			0.04 (-0.16 to 0.24)			0.36 (-0.14 to 0.86)
H3000’s	-0.05 (-0.55 to 0.45)			1.1 (0.04 to 2.2)			-0.57 (-1.1 to 0.00)			1.6 (-5.8 to 8.9)			0.20 (-0.61 to 1.0)			-0.03 (-0.21 to 0.16)			0.15 (-0.31 to 0.62)
subj_char.sd__(Intercept)	0.65 (NA to NA)			1.4 (NA to NA)			0.74 (NA to NA)			4.6 (NA to NA)			0.87 (NA to NA)			0.24 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.43 (NA to NA)			0.21 (NA to NA)			15 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0295, R2c: 0.8334

alpha_avg_power R2m: 0.1485, R2c: 0.9259

beta_avg_power R2m: 0.0865, R2c: 0.9323

theta_div_beta R2m: 0.0073, R2c: 0.0963

log_theta_div_beta R2m: 0.036, R2c: 0.4263

aperiodic_exp R2m: 0.0104, R2c: 0.9083

aperiodic_offset R2m: 0.0483, R2c: 0.9801

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in alpha_avg_power for Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.83 (0.42 to 1.2)	<0.001	<0.001	0.30 (-0.53 to 1.1)	0.48	0.48	0.62 (0.18 to 1.1)	0.005	0.015	-3.3 (-13 to 6.6)	0.51	0.76	1.3 (0.43 to 2.2)	0.004	0.011	0.97 (0.82 to 1.1)	<0.001	<0.001	-0.98 (-1.3 to -0.63)	<0.001	<0.001
mean_APexc_mean	-3.0 (-6.5 to 0.40)	0.084	0.13	4.8 (-0.17 to 9.9)	0.058	0.088	3.1 (0.72 to 5.5)	0.011	0.016	102 (-52 to 256)	0.20	0.59	-5.6 (-18 to 6.4)	0.36	0.46	-0.27 (-1.2 to 0.65)	0.57	0.80	-0.69 (-1.8 to 0.38)	0.21	0.31
group_char		0.53	0.53		0.021	0.064		0.19	0.19		0.82	0.82		0.46	0.46		0.80	0.80		0.39	0.39
H1000’s	—			—			—			—			—			—			—
H2000’s	0.15 (-0.38 to 0.68)			1.6 (0.41 to 2.7)			-0.14 (-0.74 to 0.47)			-0.35 (-7.4 to 6.7)			0.40 (-0.44 to 1.2)			0.04 (-0.16 to 0.24)			0.35 (-0.15 to 0.85)
H3000’s	-0.14 (-0.64 to 0.35)			1.1 (0.02 to 2.1)			-0.50 (-1.1 to 0.06)			1.6 (-5.0 to 8.2)			-0.09 (-0.87 to 0.69)			-0.03 (-0.21 to 0.16)			0.14 (-0.32 to 0.61)
subj_char.sd__(Intercept)	0.65 (NA to NA)			1.4 (NA to NA)			0.75 (NA to NA)			3.9 (NA to NA)			0.88 (NA to NA)			0.24 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.43 (NA to NA)			0.20 (NA to NA)			15 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.031, R2c: 0.8346

alpha_avg_power R2m: 0.1479, R2c: 0.9279

beta_avg_power R2m: 0.0886, R2c: 0.937

theta_div_beta R2m: 0.0133, R2c: 0.0764

log_theta_div_beta R2m: 0.0276, R2c: 0.4214

aperiodic_exp R2m: 0.0106, R2c: 0.9088

aperiodic_offset R2m: 0.0485, R2c: 0.9804

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in beta_avg_power for Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.53 (0.12 to 0.93)	0.011	0.034	0.65 (-0.17 to 1.5)	0.12	0.18	0.96 (0.53 to 1.4)	<0.001	<0.001	5.8 (-3.1 to 15)	0.20	0.57	1.3 (0.42 to 2.1)	0.003	0.010	0.94 (0.80 to 1.1)	<0.001	<0.001	-1.0 (-1.4 to -0.70)	<0.001	<0.001
mean_MLexc_COV	0.01 (0.00 to 0.02)	0.19	0.28	-0.01 (-0.02 to 0.01)	0.59	0.59	-0.01 (-0.02 to 0.00)	0.016	0.024	-0.22 (-0.73 to 0.28)	0.38	0.57	-0.02 (-0.06 to 0.02)	0.41	0.41	0.00 (0.00 to 0.00)	0.69	0.81	0.00 (0.00 to 0.01)	0.34	0.37
group_char		0.56	0.56		0.030	0.089		0.13	0.13		0.87	0.87		0.41	0.41		0.81	0.81		0.37	0.37
H1000’s	—			—			—			—			—			—			—
H2000’s	0.19 (-0.34 to 0.72)			1.5 (0.35 to 2.6)			-0.18 (-0.78 to 0.43)			-1.7 (-8.7 to 5.2)			0.47 (-0.35 to 1.3)			0.04 (-0.16 to 0.24)			0.36 (-0.14 to 0.86)
H3000’s	-0.09 (-0.58 to 0.40)			1.0 (-0.05 to 2.1)			-0.56 (-1.1 to 0.00)			-0.17 (-6.6 to 6.3)			-0.03 (-0.79 to 0.73)			-0.02 (-0.21 to 0.16)			0.15 (-0.31 to 0.62)
subj_char.sd__(Intercept)	0.65 (NA to NA)			1.4 (NA to NA)			0.75 (NA to NA)			4.5 (NA to NA)			0.87 (NA to NA)			0.24 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.43 (NA to NA)			0.20 (NA to NA)			15 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.03, R2c: 0.8346

alpha_avg_power R2m: 0.1465, R2c: 0.9254

beta_avg_power R2m: 0.0897, R2c: 0.9361

theta_div_beta R2m: 0.0078, R2c: 0.0934

log_theta_div_beta R2m: 0.0276, R2c: 0.4189

aperiodic_exp R2m: 0.0106, R2c: 0.9084

aperiodic_offset R2m: 0.0488, R2c: 0.9801

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_div_beta for Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.79 (0.40 to 1.2)	<0.001	<0.001	0.31 (-0.49 to 1.1)	0.45	0.45	0.65 (0.23 to 1.1)	0.002	0.004	-1.3 (-8.7 to 6.0)	0.72	0.85	1.0 (0.30 to 1.7)	0.006	0.017	0.96 (0.82 to 1.1)	<0.001	<0.001	-0.98 (-1.3 to -0.64)	<0.001	<0.001
mean_MLexc_mean	-1.6 (-3.3 to -0.02)	0.048	0.071	3.3 (0.93 to 5.7)	0.006	0.019	1.8 (0.65 to 2.9)	0.002	0.004	47 (-24 to 119)	0.20	0.59	-0.36 (-6.0 to 5.3)	0.90	0.90	-0.06 (-0.49 to 0.38)	0.80	0.81	-0.46 (-0.97 to 0.05)	0.076	0.11
group_char		0.58	0.58		0.034	0.051		0.13	0.13		0.85	0.85		0.43	0.65		0.81	0.81		0.37	0.37
H1000’s	—			—			—			—			—			—			—
H2000’s	0.20 (-0.35 to 0.74)			1.5 (0.33 to 2.6)			-0.18 (-0.79 to 0.42)			-1.9 (-8.7 to 4.9)			0.47 (-0.35 to 1.3)			0.04 (-0.16 to 0.24)			0.36 (-0.14 to 0.86)
H3000’s	-0.08 (-0.58 to 0.42)			0.97 (-0.09 to 2.0)			-0.57 (-1.1 to -0.01)			-0.47 (-6.8 to 5.9)			-0.01 (-0.77 to 0.76)			-0.02 (-0.21 to 0.16)			0.16 (-0.31 to 0.62)
subj_char.sd__(Intercept)	0.66 (NA to NA)			1.4 (NA to NA)			0.75 (NA to NA)			4.2 (NA to NA)			0.88 (NA to NA)			0.24 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.42 (NA to NA)			0.20 (NA to NA)			15 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0318, R2c: 0.8424

alpha_avg_power R2m: 0.1494, R2c: 0.9309

beta_avg_power R2m: 0.0901, R2c: 0.9386

theta_div_beta R2m: 0.0135, R2c: 0.0864

log_theta_div_beta R2m: 0.0238, R2c: 0.4188

aperiodic_exp R2m: 0.0104, R2c: 0.9088

aperiodic_offset R2m: 0.0488, R2c: 0.9807

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in log_theta_div_beta for Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.90 (0.50 to 1.3)	<0.001	<0.001	0.30 (-0.52 to 1.1)	0.47	0.47	0.65 (0.22 to 1.1)	0.003	0.009	-3.4 (-13 to 6.3)	0.49	0.74	1.3 (0.51 to 2.2)	0.002	0.005	0.97 (0.83 to 1.1)	<0.001	<0.001	-0.97 (-1.3 to -0.63)	<0.001	<0.001
mean_StepDur	-0.26 (-0.45 to -0.08)	0.005	0.008	0.30 (0.02 to 0.57)	0.034	0.051	0.16 (0.02 to 0.29)	0.022	0.034	6.3 (-2.9 to 15)	0.18	0.54	-0.38 (-1.1 to 0.29)	0.27	0.40	-0.02 (-0.07 to 0.03)	0.45	0.68	-0.05 (-0.11 to 0.01)	0.094	0.14
group_char		0.50	0.50		0.022	0.051		0.20	0.20		0.80	0.80		0.44	0.44		0.81	0.81		0.39	0.39
H1000’s	—			—			—			—			—			—			—
H2000’s	0.14 (-0.39 to 0.67)			1.5 (0.40 to 2.7)			-0.15 (-0.76 to 0.46)			-0.56 (-7.5 to 6.4)			0.40 (-0.43 to 1.2)			0.04 (-0.16 to 0.24)			0.35 (-0.15 to 0.85)
H3000’s	-0.17 (-0.66 to 0.33)			1.1 (0.03 to 2.1)			-0.50 (-1.1 to 0.06)			1.6 (-5.0 to 8.2)			-0.10 (-0.88 to 0.68)			-0.03 (-0.21 to 0.16)			0.14 (-0.32 to 0.61)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.4 (NA to NA)			0.75 (NA to NA)			4.0 (NA to NA)			0.88 (NA to NA)			0.24 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.42 (NA to NA)			0.21 (NA to NA)			15 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.036, R2c: 0.8412

alpha_avg_power R2m: 0.1475, R2c: 0.9288

beta_avg_power R2m: 0.0851, R2c: 0.9355

theta_div_beta R2m: 0.0135, R2c: 0.0816

log_theta_div_beta R2m: 0.0288, R2c: 0.4253

aperiodic_exp R2m: 0.0103, R2c: 0.9085

aperiodic_offset R2m: 0.0483, R2c: 0.9806

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_exp for Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.78 (0.41 to 1.2)	<0.001	<0.001	0.47 (-0.32 to 1.3)	0.24	0.27	0.74 (0.33 to 1.2)	<0.001	0.001	-1.6 (-8.8 to 5.7)	0.67	0.81	1.1 (0.42 to 1.8)	0.002	0.005	0.97 (0.83 to 1.1)	<0.001	<0.001	-0.97 (-1.3 to -0.63)	<0.001	<0.001
mean_UDexc_COV	-0.01 (-0.02 to 0.00)	0.032	0.048	0.01 (-0.01 to 0.02)	0.27	0.27	0.00 (0.00 to 0.01)	0.24	0.24	0.33 (-0.12 to 0.77)	0.15	0.46	-0.01 (-0.04 to 0.02)	0.55	0.55	0.00 (0.00 to 0.00)	0.21	0.32	0.00 (-0.01 to 0.00)	0.020	0.030
group_char		0.54	0.54		0.031	0.094		0.14	0.21		0.81	0.81		0.42	0.55		0.80	0.80		0.36	0.36
H1000’s	—			—			—			—			—			—			—
H2000’s	0.20 (-0.32 to 0.73)			1.5 (0.34 to 2.6)			-0.18 (-0.79 to 0.42)			-2.2 (-9.0 to 4.7)			0.49 (-0.34 to 1.3)			0.04 (-0.15 to 0.24)			0.37 (-0.14 to 0.87)
H3000’s	-0.09 (-0.57 to 0.40)			1.0 (-0.06 to 2.1)			-0.55 (-1.1 to 0.01)			-0.40 (-6.8 to 6.0)			0.01 (-0.76 to 0.77)			-0.02 (-0.20 to 0.16)			0.16 (-0.31 to 0.62)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.4 (NA to NA)			0.74 (NA to NA)			4.3 (NA to NA)			0.87 (NA to NA)			0.24 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.43 (NA to NA)			0.21 (NA to NA)			15 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.033, R2c: 0.8347

alpha_avg_power R2m: 0.1466, R2c: 0.9263

beta_avg_power R2m: 0.0865, R2c: 0.9332

theta_div_beta R2m: 0.0152, R2c: 0.093

log_theta_div_beta R2m: 0.0254, R2c: 0.4171

aperiodic_exp R2m: 0.0116, R2c: 0.9093

aperiodic_offset R2m: 0.0493, R2c: 0.9809

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_offset for Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.46 (0.07 to 0.84)	0.019	0.029	0.67 (-0.13 to 1.5)	0.10	0.15	0.90 (0.48 to 1.3)	<0.001	<0.001	6.9 (-0.88 to 15)	0.083	0.25	1.0 (0.30 to 1.8)	0.006	0.018	0.94 (0.80 to 1.1)	<0.001	<0.001	-1.1 (-1.4 to -0.72)	<0.001	<0.001
mean_UDexc_mean	8.2 (2.6 to 14)	0.004	0.012	-4.0 (-12 to 4.5)	0.36	0.36	-4.5 (-8.5 to -0.43)	0.030	0.045	-182 (-441 to 76)	0.17	0.25	-1.8 (-22 to 18)	0.86	0.86	0.57 (-0.95 to 2.1)	0.46	0.70	1.7 (-0.03 to 3.5)	0.054	0.082
group_char		0.50	0.50		0.029	0.087		0.15	0.15		0.80	0.80		0.43	0.65		0.80	0.80		0.37	0.37
H1000’s	—			—			—			—			—			—			—
H2000’s	0.19 (-0.33 to 0.72)			1.5 (0.35 to 2.6)			-0.18 (-0.78 to 0.42)			-1.8 (-8.6 to 5.0)			0.47 (-0.35 to 1.3)			0.04 (-0.16 to 0.24)			0.36 (-0.14 to 0.86)
H3000’s	-0.11 (-0.60 to 0.38)			1.0 (-0.04 to 2.1)			-0.54 (-1.1 to 0.02)			0.29 (-6.0 to 6.6)			-0.01 (-0.77 to 0.76)			-0.02 (-0.21 to 0.16)			0.15 (-0.31 to 0.61)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.4 (NA to NA)			0.74 (NA to NA)			4.2 (NA to NA)			0.88 (NA to NA)			0.24 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.43 (NA to NA)			0.21 (NA to NA)			15 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0385, R2c: 0.8395

alpha_avg_power R2m: 0.1471, R2c: 0.9255

beta_avg_power R2m: 0.0884, R2c: 0.935

theta_div_beta R2m: 0.0147, R2c: 0.0878

log_theta_div_beta R2m: 0.0239, R2c: 0.4174

aperiodic_exp R2m: 0.0109, R2c: 0.9082

aperiodic_offset R2m: 0.0492, R2c: 0.9806

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.86 (0.47 to 1.2)	<0.001	<0.001	0.35 (-0.45 to 1.1)	0.39	0.39	0.68 (0.26 to 1.1)	0.002	0.005	-2.1 (-11 to 6.3)	0.62	0.82	1.3 (0.56 to 2.1)	<0.001	0.002	0.97 (0.83 to 1.1)	<0.001	<0.001	-0.98 (-1.3 to -0.63)	<0.001	<0.001
mean_StanceDur	-0.16 (-0.27 to -0.05)	0.005	0.007	0.18 (0.01 to 0.34)	0.034	0.050	0.09 (0.01 to 0.17)	0.024	0.036	3.6 (-1.9 to 9.1)	0.20	0.60	-0.25 (-0.65 to 0.15)	0.22	0.33	-0.01 (-0.04 to 0.02)	0.43	0.65	-0.03 (-0.06 to 0.00)	0.088	0.13
group_char		0.51	0.51		0.023	0.050		0.19	0.19		0.82	0.82		0.44	0.44		0.81	0.81		0.39	0.39
H1000’s	—			—			—			—			—			—			—
H2000’s	0.15 (-0.38 to 0.68)			1.5 (0.39 to 2.7)			-0.15 (-0.76 to 0.45)			-0.77 (-7.7 to 6.1)			0.41 (-0.42 to 1.2)			0.04 (-0.16 to 0.24)			0.35 (-0.15 to 0.85)
H3000’s	-0.16 (-0.65 to 0.34)			1.1 (0.02 to 2.1)			-0.51 (-1.1 to 0.05)			1.3 (-5.2 to 7.8)			-0.10 (-0.87 to 0.68)			-0.03 (-0.21 to 0.16)			0.14 (-0.32 to 0.61)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.4 (NA to NA)			0.75 (NA to NA)			4.0 (NA to NA)			0.88 (NA to NA)			0.24 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.42 (NA to NA)			0.21 (NA to NA)			15 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0361, R2c: 0.8414

alpha_avg_power R2m: 0.1475, R2c: 0.9288

beta_avg_power R2m: 0.0852, R2c: 0.9352

theta_div_beta R2m: 0.0125, R2c: 0.081

log_theta_div_beta R2m: 0.0298, R2c: 0.4253

aperiodic_exp R2m: 0.0103, R2c: 0.9085

aperiodic_offset R2m: 0.0484, R2c: 0.9806

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.90 (0.50 to 1.3)	<0.001	<0.001	0.30 (-0.52 to 1.1)	0.47	0.47	0.65 (0.22 to 1.1)	0.003	0.009	-3.4 (-13 to 6.3)	0.49	0.74	1.4 (0.51 to 2.2)	0.002	0.005	0.97 (0.83 to 1.1)	<0.001	<0.001	-0.97 (-1.3 to -0.63)	<0.001	<0.001
mean_GaitCycleDur	-0.13 (-0.22 to -0.04)	0.005	0.008	0.15 (0.01 to 0.28)	0.034	0.051	0.08 (0.01 to 0.14)	0.022	0.033	3.1 (-1.4 to 7.7)	0.18	0.54	-0.19 (-0.53 to 0.14)	0.26	0.40	-0.01 (-0.03 to 0.02)	0.46	0.69	-0.02 (-0.05 to 0.00)	0.10	0.14
group_char		0.50	0.50		0.022	0.051		0.20	0.20		0.80	0.80		0.44	0.44		0.81	0.81		0.39	0.39
H1000’s	—			—			—			—			—			—			—
H2000’s	0.14 (-0.39 to 0.67)			1.5 (0.40 to 2.7)			-0.15 (-0.76 to 0.46)			-0.56 (-7.5 to 6.4)			0.40 (-0.43 to 1.2)			0.04 (-0.16 to 0.24)			0.35 (-0.15 to 0.85)
H3000’s	-0.17 (-0.66 to 0.33)			1.1 (0.03 to 2.1)			-0.50 (-1.1 to 0.06)			1.6 (-5.0 to 8.2)			-0.10 (-0.88 to 0.68)			-0.03 (-0.21 to 0.16)			0.14 (-0.32 to 0.61)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.4 (NA to NA)			0.75 (NA to NA)			4.0 (NA to NA)			0.88 (NA to NA)			0.24 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.42 (NA to NA)			0.21 (NA to NA)			15 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.036, R2c: 0.8412

alpha_avg_power R2m: 0.1475, R2c: 0.9288

beta_avg_power R2m: 0.0851, R2c: 0.9355

theta_div_beta R2m: 0.0135, R2c: 0.0816

log_theta_div_beta R2m: 0.0289, R2c: 0.4255

aperiodic_exp R2m: 0.0102, R2c: 0.9085

aperiodic_offset R2m: 0.0483, R2c: 0.9806

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 9
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.50 (0.13 to 0.87)	0.009	0.013	0.69 (-0.09 to 1.5)	0.084	0.13	0.88 (0.46 to 1.3)	<0.001	<0.001	5.9 (-0.70 to 13)	0.080	0.24	1.0 (0.35 to 1.7)	0.003	0.008	0.94 (0.80 to 1.1)	<0.001	<0.001	-1.1 (-1.4 to -0.71)	<0.001	<0.001
mean_PeakUpDownVel_mean	0.66 (0.25 to 1.1)	0.002	0.005	-0.49 (-1.1 to 0.14)	0.13	0.13	-0.34 (-0.63 to -0.04)	0.028	0.042	-14 (-35 to 5.6)	0.16	0.24	-0.09 (-1.6 to 1.4)	0.91	0.91	0.05 (-0.06 to 0.17)	0.35	0.52	0.15 (0.02 to 0.28)	0.025	0.037
group_char		0.53	0.53		0.027	0.082		0.15	0.15		0.84	0.84		0.43	0.64		0.80	0.80		0.37	0.37
H1000’s	—			—			—			—			—			—			—
H2000’s	0.18 (-0.35 to 0.70)			1.5 (0.36 to 2.6)			-0.17 (-0.78 to 0.43)			-1.5 (-8.2 to 5.3)			0.47 (-0.35 to 1.3)			0.04 (-0.16 to 0.24)			0.36 (-0.14 to 0.86)
H3000’s	-0.12 (-0.60 to 0.37)			1.0 (-0.03 to 2.1)			-0.54 (-1.1 to 0.02)			0.45 (-5.8 to 6.7)			-0.01 (-0.77 to 0.76)			-0.03 (-0.21 to 0.16)			0.15 (-0.32 to 0.61)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.4 (NA to NA)			0.75 (NA to NA)			4.0 (NA to NA)			0.88 (NA to NA)			0.24 (NA to NA)			0.62 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.43 (NA to NA)			0.21 (NA to NA)			15 (NA to NA)			1.1 (NA to NA)			0.08 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0392, R2c: 0.8403

alpha_avg_power R2m: 0.148, R2c: 0.9264

beta_avg_power R2m: 0.0878, R2c: 0.9355

theta_div_beta R2m: 0.015, R2c: 0.083

log_theta_div_beta R2m: 0.0238, R2c: 0.4165

aperiodic_exp R2m: 0.0111, R2c: 0.9084

aperiodic_offset R2m: 0.0492, R2c: 0.9808

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_avg_power for Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.50 (0.16 to 0.84)	0.004	0.012	1.7 (0.76 to 2.6)	<0.001	0.001	0.89 (0.44 to 1.4)	<0.001	<0.001	0.60 (-7.8 to 9.0)	0.89	0.94	0.25 (-0.44 to 0.95)	0.48	0.48	1.1 (0.90 to 1.2)	<0.001	<0.001	-0.81 (-1.2 to -0.47)	<0.001	<0.001
mean_APexc_COV	0.00 (0.00 to 0.01)	0.33	0.49	0.00 (-0.02 to 0.02)	0.73	0.73	0.00 (-0.01 to 0.01)	0.90	0.90	0.01 (-0.38 to 0.41)	0.94	0.94	0.03 (0.00 to 0.05)	0.083	0.12	0.00 (-0.01 to 0.00)	0.076	0.10	0.00 (-0.01 to 0.00)	0.10	0.14
group_char		0.85	0.85		0.012	0.018		0.64	0.90		0.38	0.94		0.052	0.12		0.10	0.10		0.71	0.71
H1000’s	—			—			—			—			—			—			—
H2000’s	0.04 (-0.46 to 0.53)			2.1 (0.67 to 3.5)			-0.02 (-0.72 to 0.68)			3.8 (-4.8 to 12)			0.97 (0.16 to 1.8)			-0.27 (-0.51 to -0.02)			-0.15 (-0.68 to 0.39)
H3000’s	-0.09 (-0.53 to 0.34)			1.2 (-0.01 to 2.5)			-0.27 (-0.89 to 0.34)			-2.2 (-10 to 6.0)			0.65 (-0.11 to 1.4)			-0.08 (-0.30 to 0.13)			0.07 (-0.39 to 0.54)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.8 (NA to NA)			0.92 (NA to NA)			8.7 (NA to NA)			0.95 (NA to NA)			0.32 (NA to NA)			0.70 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.54 (NA to NA)			0.21 (NA to NA)			13 (NA to NA)			0.91 (NA to NA)			0.09 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0052, R2c: 0.8696

alpha_avg_power R2m: 0.1534, R2c: 0.9327

beta_avg_power R2m: 0.0192, R2c: 0.949

theta_div_beta R2m: 0.0202, R2c: 0.3152

log_theta_div_beta R2m: 0.1272, R2c: 0.5855

aperiodic_exp R2m: 0.097, R2c: 0.9325

aperiodic_offset R2m: 0.0139, R2c: 0.982

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in alpha_avg_power for Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.53 (0.19 to 0.87)	0.002	0.007	1.1 (0.19 to 2.1)	0.019	0.019	0.69 (0.24 to 1.1)	0.003	0.004	1.0 (-8.2 to 10)	0.83	0.97	0.38 (-0.36 to 1.1)	0.31	0.31	1.0 (0.88 to 1.2)	<0.001	<0.001	-0.76 (-1.1 to -0.42)	<0.001	<0.001
mean_APexc_mean	0.66 (-2.1 to 3.4)	0.64	0.90	9.7 (3.8 to 16)	0.001	0.004	3.6 (1.2 to 5.9)	0.003	0.004	-2.7 (-144 to 139)	0.97	0.97	5.6 (-4.4 to 16)	0.27	0.31	-0.52 (-1.5 to 0.50)	0.32	0.32	-1.8 (-2.9 to -0.77)	<0.001	0.001
group_char		0.90	0.90		0.007	0.011		0.68	0.68		0.37	0.97		0.007	0.021		0.074	0.11		0.72	0.72
H1000’s	—			—			—			—			—			—			—
H2000’s	0.07 (-0.43 to 0.56)			2.2 (0.78 to 3.6)			0.02 (-0.67 to 0.72)			3.8 (-4.7 to 12)			1.2 (0.35 to 2.0)			-0.29 (-0.53 to -0.04)			-0.18 (-0.72 to 0.35)
H3000’s	-0.05 (-0.48 to 0.39)			1.3 (0.08 to 2.5)			-0.24 (-0.84 to 0.37)			-2.1 (-9.5 to 5.3)			0.96 (0.23 to 1.7)			-0.12 (-0.33 to 0.10)			0.03 (-0.44 to 0.49)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.8 (NA to NA)			0.91 (NA to NA)			8.7 (NA to NA)			0.97 (NA to NA)			0.32 (NA to NA)			0.70 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.52 (NA to NA)			0.21 (NA to NA)			13 (NA to NA)			0.91 (NA to NA)			0.09 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0042, R2c: 0.8692

alpha_avg_power R2m: 0.1584, R2c: 0.9373

beta_avg_power R2m: 0.0226, R2c: 0.9513

theta_div_beta R2m: 0.0202, R2c: 0.3141

log_theta_div_beta R2m: 0.1176, R2c: 0.5894

aperiodic_exp R2m: 0.0945, R2c: 0.9322

aperiodic_offset R2m: 0.0147, R2c: 0.9832

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in beta_avg_power for Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.61 (0.27 to 0.95)	<0.001	0.001	1.9 (0.91 to 2.8)	<0.001	<0.001	0.97 (0.52 to 1.4)	<0.001	<0.001	-3.0 (-12 to 5.9)	0.51	0.51	0.55 (-0.19 to 1.3)	0.14	0.22	1.0 (0.86 to 1.2)	<0.001	<0.001	-0.91 (-1.2 to -0.57)	<0.001	<0.001
mean_MLexc_COV	0.00 (-0.01 to 0.01)	0.57	0.85	-0.01 (-0.04 to 0.01)	0.21	0.21	-0.01 (-0.02 to 0.00)	0.19	0.29	0.26 (-0.24 to 0.76)	0.30	0.49	0.01 (-0.03 to 0.05)	0.63	0.63	0.00 (0.00 to 0.00)	0.83	0.83	0.00 (0.00 to 0.01)	0.13	0.19
group_char		0.91	0.91		0.014	0.020		0.63	0.63		0.33	0.49		0.010	0.030		0.080	0.12		0.74	0.74
H1000’s	—			—			—			—			—			—			—
H2000’s	0.05 (-0.44 to 0.54)			2.0 (0.64 to 3.5)			-0.03 (-0.73 to 0.67)			4.3 (-4.1 to 13)			1.1 (0.30 to 1.9)			-0.28 (-0.53 to -0.04)			-0.16 (-0.69 to 0.38)
H3000’s	-0.05 (-0.48 to 0.38)			1.2 (-0.03 to 2.4)			-0.28 (-0.89 to 0.33)			-2.1 (-9.3 to 5.2)			0.89 (0.18 to 1.6)			-0.11 (-0.32 to 0.10)			0.05 (-0.42 to 0.51)
subj_char.sd__(Intercept)	0.63 (NA to NA)			1.8 (NA to NA)			0.92 (NA to NA)			8.8 (NA to NA)			0.97 (NA to NA)			0.32 (NA to NA)			0.70 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.54 (NA to NA)			0.21 (NA to NA)			13 (NA to NA)			0.91 (NA to NA)			0.09 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0044, R2c: 0.8684

alpha_avg_power R2m: 0.1543, R2c: 0.9334

beta_avg_power R2m: 0.02, R2c: 0.9494

theta_div_beta R2m: 0.0257, R2c: 0.3246

log_theta_div_beta R2m: 0.1153, R2c: 0.5854

aperiodic_exp R2m: 0.0943, R2c: 0.9315

aperiodic_offset R2m: 0.0138, R2c: 0.9819

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_div_beta for Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.56 (0.23 to 0.88)	<0.001	0.002	1.3 (0.34 to 2.2)	0.007	0.011	0.73 (0.28 to 1.2)	0.002	0.002	6.7 (-0.56 to 14)	0.071	0.11	0.46 (-0.17 to 1.1)	0.15	0.23	1.0 (0.87 to 1.2)	<0.001	<0.001	-0.79 (-1.1 to -0.45)	<0.001	<0.001
mean_MLexc_mean	0.13 (-1.2 to 1.4)	0.84	0.90	4.7 (2.0 to 7.4)	<0.001	0.002	2.0 (0.90 to 3.1)	<0.001	<0.001	-72 (-135 to -8.8)	0.026	0.077	2.7 (-1.8 to 7.3)	0.24	0.24	-0.08 (-0.56 to 0.39)	0.73	0.73	-0.88 (-1.4 to -0.39)	<0.001	<0.001
group_char		0.90	0.90		0.015	0.015		0.61	0.61		0.36	0.36		0.012	0.037		0.082	0.12		0.73	0.73
H1000’s	—			—			—			—			—			—			—
H2000’s	0.06 (-0.43 to 0.55)			2.0 (0.62 to 3.5)			-0.03 (-0.74 to 0.67)			4.3 (-3.9 to 12)			1.1 (0.27 to 1.9)			-0.28 (-0.52 to -0.03)			-0.16 (-0.69 to 0.37)
H3000’s	-0.05 (-0.48 to 0.38)			1.2 (-0.07 to 2.4)			-0.29 (-0.90 to 0.33)			-1.6 (-8.8 to 5.6)			0.88 (0.16 to 1.6)			-0.11 (-0.32 to 0.10)			0.05 (-0.41 to 0.52)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.9 (NA to NA)			0.92 (NA to NA)			8.6 (NA to NA)			0.97 (NA to NA)			0.32 (NA to NA)			0.70 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.52 (NA to NA)			0.20 (NA to NA)			13 (NA to NA)			0.91 (NA to NA)			0.09 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.004, R2c: 0.8687

alpha_avg_power R2m: 0.1573, R2c: 0.939

beta_avg_power R2m: 0.0238, R2c: 0.9541

theta_div_beta R2m: 0.0436, R2c: 0.3308

log_theta_div_beta R2m: 0.1187, R2c: 0.5891

aperiodic_exp R2m: 0.0944, R2c: 0.9314

aperiodic_offset R2m: 0.0152, R2c: 0.983

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in log_theta_div_beta for Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.55 (0.21 to 0.89)	0.001	0.004	1.1 (0.15 to 2.0)	0.023	0.023	0.72 (0.27 to 1.2)	0.002	0.005	4.1 (-5.0 to 13)	0.38	0.39	0.31 (-0.41 to 1.0)	0.40	0.40	1.1 (0.89 to 1.2)	<0.001	<0.001	-0.75 (-1.1 to -0.41)	<0.001	<0.001
mean_StepDur	0.02 (-0.14 to 0.17)	0.83	0.90	0.62 (0.30 to 0.95)	<0.001	<0.001	0.18 (0.05 to 0.31)	0.006	0.009	-3.5 (-12 to 4.6)	0.39	0.39	0.41 (-0.15 to 0.97)	0.15	0.23	-0.04 (-0.09 to 0.02)	0.21	0.21	-0.12 (-0.18 to -0.06)	<0.001	<0.001
group_char		0.90	0.90		0.007	0.010		0.69	0.69		0.34	0.39		0.006	0.019		0.076	0.11		0.73	0.73
H1000’s	—			—			—			—			—			—			—
H2000’s	0.06 (-0.43 to 0.55)			2.2 (0.77 to 3.6)			0.01 (-0.69 to 0.71)			3.3 (-5.1 to 12)			1.2 (0.35 to 2.0)			-0.29 (-0.53 to -0.04)			-0.18 (-0.72 to 0.36)
H3000’s	-0.05 (-0.48 to 0.38)			1.3 (0.11 to 2.6)			-0.24 (-0.85 to 0.37)			-2.8 (-10 to 4.6)			0.98 (0.25 to 1.7)			-0.12 (-0.33 to 0.10)			0.02 (-0.44 to 0.49)
subj_char.sd__(Intercept)	0.63 (NA to NA)			1.8 (NA to NA)			0.91 (NA to NA)			8.7 (NA to NA)			0.98 (NA to NA)			0.32 (NA to NA)			0.71 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.51 (NA to NA)			0.21 (NA to NA)			13 (NA to NA)			0.90 (NA to NA)			0.09 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0042, R2c: 0.8686

alpha_avg_power R2m: 0.1595, R2c: 0.9384

beta_avg_power R2m: 0.0216, R2c: 0.9514

theta_div_beta R2m: 0.0231, R2c: 0.3178

log_theta_div_beta R2m: 0.1178, R2c: 0.597

aperiodic_exp R2m: 0.0932, R2c: 0.9327

aperiodic_offset R2m: 0.0152, R2c: 0.9832

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_exp for Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.57 (0.24 to 0.89)	<0.001	0.002	1.3 (0.42 to 2.2)	0.004	0.006	0.79 (0.34 to 1.2)	<0.001	0.002	2.5 (-4.6 to 9.7)	0.48	0.49	0.38 (-0.23 to 0.99)	0.22	0.22	1.0 (0.88 to 1.2)	<0.001	<0.001	-0.78 (-1.1 to -0.44)	<0.001	<0.001
mean_UDexc_COV	0.00 (-0.01 to 0.01)	0.96	0.96	0.02 (0.01 to 0.04)	0.002	0.006	0.01 (0.00 to 0.01)	0.017	0.025	-0.13 (-0.52 to 0.25)	0.49	0.49	0.02 (0.00 to 0.05)	0.083	0.12	0.00 (0.00 to 0.00)	0.22	0.22	-0.01 (-0.01 to 0.00)	<0.001	<0.001
group_char		0.90	0.96		0.015	0.015		0.62	0.62		0.38	0.49		0.012	0.036		0.082	0.12		0.73	0.73
H1000’s	—			—			—			—			—			—			—
H2000’s	0.06 (-0.43 to 0.55)			2.1 (0.63 to 3.5)			-0.03 (-0.73 to 0.68)			3.9 (-4.4 to 12)			1.1 (0.28 to 1.9)			-0.28 (-0.52 to -0.03)			-0.16 (-0.69 to 0.37)
H3000’s	-0.05 (-0.48 to 0.38)			1.2 (-0.07 to 2.4)			-0.28 (-0.90 to 0.33)			-1.9 (-9.2 to 5.3)			0.87 (0.16 to 1.6)			-0.11 (-0.32 to 0.11)			0.05 (-0.41 to 0.52)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.9 (NA to NA)			0.92 (NA to NA)			8.7 (NA to NA)			0.97 (NA to NA)			0.32 (NA to NA)			0.70 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.52 (NA to NA)			0.21 (NA to NA)			13 (NA to NA)			0.90 (NA to NA)			0.09 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.004, R2c: 0.8687

alpha_avg_power R2m: 0.1547, R2c: 0.9384

beta_avg_power R2m: 0.0207, R2c: 0.9516

theta_div_beta R2m: 0.0222, R2c: 0.3155

log_theta_div_beta R2m: 0.1228, R2c: 0.5916

aperiodic_exp R2m: 0.0953, R2c: 0.9319

aperiodic_offset R2m: 0.0157, R2c: 0.984

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_offset for Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.54 (0.21 to 0.86)	0.001	0.003	1.9 (1.0 to 2.8)	<0.001	<0.001	1.0 (0.55 to 1.4)	<0.001	<0.001	-1.6 (-8.9 to 5.7)	0.67	0.67	0.94 (0.32 to 1.6)	0.003	0.009	1.0 (0.85 to 1.2)	<0.001	<0.001	-0.94 (-1.3 to -0.60)	<0.001	<0.001
mean_UDexc_mean	1.3 (-3.1 to 5.7)	0.56	0.84	-13 (-22 to -3.4)	0.008	0.010	-5.0 (-8.7 to -1.3)	0.008	0.012	108 (-117 to 334)	0.35	0.53	-12 (-27 to 4.2)	0.15	0.15	0.20 (-1.4 to 1.8)	0.81	0.81	3.5 (1.8 to 5.1)	<0.001	<0.001
group_char		0.90	0.90		0.010	0.010		0.66	0.66		0.35	0.53		0.008	0.012		0.081	0.12		0.74	0.74
H1000’s	—			—			—			—			—			—			—
H2000’s	0.06 (-0.44 to 0.55)			2.1 (0.69 to 3.5)			-0.01 (-0.71 to 0.69)			3.6 (-4.7 to 12)			1.1 (0.31 to 1.9)			-0.28 (-0.53 to -0.04)			-0.17 (-0.70 to 0.37)
H3000’s	-0.06 (-0.49 to 0.37)			1.2 (0.02 to 2.5)			-0.26 (-0.87 to 0.35)			-2.4 (-9.7 to 4.8)			0.93 (0.22 to 1.6)			-0.11 (-0.32 to 0.10)			0.03 (-0.43 to 0.50)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.8 (NA to NA)			0.92 (NA to NA)			8.7 (NA to NA)			0.97 (NA to NA)			0.32 (NA to NA)			0.70 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.53 (NA to NA)			0.21 (NA to NA)			13 (NA to NA)			0.91 (NA to NA)			0.09 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0043, R2c: 0.8689

alpha_avg_power R2m: 0.1572, R2c: 0.9356

beta_avg_power R2m: 0.0213, R2c: 0.9516

theta_div_beta R2m: 0.024, R2c: 0.3172

log_theta_div_beta R2m: 0.12, R2c: 0.5912

aperiodic_exp R2m: 0.0943, R2c: 0.9315

aperiodic_offset R2m: 0.0152, R2c: 0.9838

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.55 (0.23 to 0.88)	<0.001	0.003	1.2 (0.27 to 2.1)	0.011	0.011	0.75 (0.30 to 1.2)	<0.001	0.003	3.5 (-4.4 to 11)	0.39	0.39	0.39 (-0.27 to 1.0)	0.25	0.25	1.0 (0.89 to 1.2)	<0.001	<0.001	-0.77 (-1.1 to -0.43)	<0.001	<0.001
mean_StanceDur	0.01 (-0.08 to 0.10)	0.81	0.90	0.37 (0.18 to 0.56)	<0.001	<0.001	0.11 (0.03 to 0.19)	0.006	0.009	-2.1 (-7.0 to 2.7)	0.39	0.39	0.23 (-0.10 to 0.57)	0.17	0.25	-0.02 (-0.06 to 0.01)	0.18	0.18	-0.07 (-0.11 to -0.04)	<0.001	<0.001
group_char		0.90	0.90		0.007	0.011		0.68	0.68		0.35	0.39		0.007	0.021		0.077	0.11		0.73	0.73
H1000’s	—			—			—			—			—			—			—
H2000’s	0.06 (-0.43 to 0.55)			2.2 (0.76 to 3.6)			0.00 (-0.69 to 0.70)			3.3 (-5.0 to 12)			1.2 (0.34 to 2.0)			-0.29 (-0.53 to -0.04)			-0.18 (-0.72 to 0.36)
H3000’s	-0.05 (-0.48 to 0.38)			1.3 (0.08 to 2.5)			-0.24 (-0.85 to 0.37)			-2.7 (-10 to 4.7)			0.96 (0.24 to 1.7)			-0.11 (-0.33 to 0.10)			0.03 (-0.44 to 0.50)
subj_char.sd__(Intercept)	0.63 (NA to NA)			1.8 (NA to NA)			0.91 (NA to NA)			8.7 (NA to NA)			0.98 (NA to NA)			0.32 (NA to NA)			0.71 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.51 (NA to NA)			0.21 (NA to NA)			13 (NA to NA)			0.90 (NA to NA)			0.09 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0042, R2c: 0.8686

alpha_avg_power R2m: 0.1592, R2c: 0.9384

beta_avg_power R2m: 0.0215, R2c: 0.9515

theta_div_beta R2m: 0.0231, R2c: 0.3174

log_theta_div_beta R2m: 0.1175, R2c: 0.5965

aperiodic_exp R2m: 0.0933, R2c: 0.9328

aperiodic_offset R2m: 0.0152, R2c: 0.9833

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.55 (0.21 to 0.89)	0.001	0.004	1.1 (0.15 to 2.0)	0.022	0.022	0.72 (0.27 to 1.2)	0.002	0.005	4.0 (-5.0 to 13)	0.38	0.39	0.31 (-0.41 to 1.0)	0.40	0.40	1.1 (0.89 to 1.2)	<0.001	<0.001	-0.75 (-1.1 to -0.41)	<0.001	<0.001
mean_GaitCycleDur	0.01 (-0.07 to 0.09)	0.83	0.90	0.31 (0.15 to 0.47)	<0.001	<0.001	0.09 (0.03 to 0.16)	0.006	0.009	-1.8 (-5.8 to 2.3)	0.39	0.39	0.20 (-0.08 to 0.48)	0.15	0.23	-0.02 (-0.05 to 0.01)	0.21	0.21	-0.06 (-0.09 to -0.03)	<0.001	<0.001
group_char		0.90	0.90		0.007	0.010		0.69	0.69		0.34	0.39		0.006	0.019		0.076	0.11		0.73	0.73
H1000’s	—			—			—			—			—			—			—
H2000’s	0.06 (-0.43 to 0.55)			2.2 (0.77 to 3.6)			0.01 (-0.69 to 0.71)			3.3 (-5.1 to 12)			1.2 (0.35 to 2.0)			-0.29 (-0.53 to -0.04)			-0.18 (-0.72 to 0.36)
H3000’s	-0.05 (-0.48 to 0.38)			1.3 (0.11 to 2.6)			-0.24 (-0.85 to 0.37)			-2.8 (-10 to 4.6)			0.98 (0.25 to 1.7)			-0.12 (-0.33 to 0.10)			0.02 (-0.44 to 0.49)
subj_char.sd__(Intercept)	0.63 (NA to NA)			1.8 (NA to NA)			0.91 (NA to NA)			8.7 (NA to NA)			0.98 (NA to NA)			0.32 (NA to NA)			0.71 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.51 (NA to NA)			0.21 (NA to NA)			13 (NA to NA)			0.90 (NA to NA)			0.09 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0042, R2c: 0.8686

alpha_avg_power R2m: 0.1595, R2c: 0.9384

beta_avg_power R2m: 0.0216, R2c: 0.9514

theta_div_beta R2m: 0.0231, R2c: 0.3178

log_theta_div_beta R2m: 0.1179, R2c: 0.597

aperiodic_exp R2m: 0.0932, R2c: 0.9327

aperiodic_offset R2m: 0.0152, R2c: 0.9832

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 10
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.55 (0.23 to 0.86)	<0.001	0.002	1.9 (1.0 to 2.8)	<0.001	<0.001	0.98 (0.54 to 1.4)	<0.001	<0.001	-1.0 (-7.4 to 5.4)	0.75	0.75	0.84 (0.26 to 1.4)	0.004	0.013	1.0 (0.86 to 1.2)	<0.001	<0.001	-0.92 (-1.3 to -0.58)	<0.001	<0.001
mean_PeakUpDownVel_mean	0.08 (-0.23 to 0.40)	0.60	0.90	-1.1 (-1.7 to -0.41)	0.002	0.002	-0.40 (-0.66 to -0.13)	0.003	0.005	8.2 (-8.1 to 25)	0.32	0.53	-0.68 (-1.8 to 0.45)	0.24	0.24	0.01 (-0.10 to 0.13)	0.85	0.85	0.25 (0.14 to 0.37)	<0.001	<0.001
group_char		0.90	0.90		0.010	0.010		0.66	0.66		0.35	0.53		0.008	0.013		0.081	0.12		0.73	0.73
H1000’s	—			—			—			—			—			—			—
H2000’s	0.06 (-0.44 to 0.55)			2.1 (0.70 to 3.5)			-0.01 (-0.71 to 0.69)			3.6 (-4.7 to 12)			1.1 (0.31 to 1.9)			-0.28 (-0.53 to -0.04)			-0.17 (-0.70 to 0.36)
H3000’s	-0.06 (-0.49 to 0.37)			1.3 (0.03 to 2.5)			-0.26 (-0.87 to 0.35)			-2.5 (-9.8 to 4.8)			0.93 (0.21 to 1.6)			-0.11 (-0.32 to 0.10)			0.03 (-0.43 to 0.50)
subj_char.sd__(Intercept)	0.64 (NA to NA)			1.8 (NA to NA)			0.92 (NA to NA)			8.7 (NA to NA)			0.97 (NA to NA)			0.32 (NA to NA)			0.70 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.52 (NA to NA)			0.21 (NA to NA)			13 (NA to NA)			0.91 (NA to NA)			0.09 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0042, R2c: 0.8687

alpha_avg_power R2m: 0.1588, R2c: 0.9365

beta_avg_power R2m: 0.0218, R2c: 0.9519

theta_div_beta R2m: 0.0242, R2c: 0.3177

log_theta_div_beta R2m: 0.118, R2c: 0.5892

aperiodic_exp R2m: 0.0943, R2c: 0.9315

aperiodic_offset R2m: 0.0152, R2c: 0.9839

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_avg_power for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.3 (0.92 to 1.7)	<0.001	<0.001	1.1 (0.52 to 1.7)	<0.001	<0.001	0.72 (0.25 to 1.2)	0.003	0.009	3.3 (-2.1 to 8.7)	0.23	0.64	0.53 (-0.18 to 1.2)	0.15	0.22	1.1 (1.0 to 1.3)	<0.001	<0.001	-0.69 (-1.0 to -0.35)	<0.001	<0.001
mean_APexc_COV	-0.01 (-0.02 to 0.00)	0.057	0.057	0.01 (-0.01 to 0.03)	0.30	0.45	0.00 (-0.01 to 0.01)	0.79	0.79	-0.07 (-0.37 to 0.22)	0.64	0.64	0.00 (-0.03 to 0.03)	0.93	0.93	0.00 (0.00 to 0.00)	0.31	0.31	0.00 (-0.01 to 0.00)	0.14	0.16
group_char		0.033	0.049		0.45	0.45		0.060	0.090		0.48	0.64		0.002	0.005		0.17	0.25		0.16	0.16
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.65 (-1.2 to -0.12)			-0.10 (-0.90 to 0.71)			0.58 (-0.08 to 1.2)			-2.0 (-6.5 to 2.4)			1.3 (0.56 to 2.0)			-0.14 (-0.33 to 0.04)			-0.39 (-0.89 to 0.11)
H3000’s	-0.55 (-1.1 to -0.02)			0.41 (-0.41 to 1.2)			0.77 (0.10 to 1.4)			0.22 (-5.0 to 5.4)			1.1 (0.26 to 1.8)			0.03 (-0.16 to 0.21)			0.07 (-0.43 to 0.57)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)			0.96 (NA to NA)			0.30 (NA to NA)			0.80 (NA to NA)
Residual.sd__Observation	0.30 (NA to NA)			0.52 (NA to NA)			0.25 (NA to NA)			13 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1242, R2c: 0.9017

alpha_avg_power R2m: 0.033, R2c: 0.8597

beta_avg_power R2m: 0.088, R2c: 0.9497

theta_div_beta R2m: 0.0077, R2c: 0.0077

log_theta_div_beta R2m: 0.1265, R2c: 0.4776

aperiodic_exp R2m: 0.0558, R2c: 0.9481

aperiodic_offset R2m: 0.0591, R2c: 0.9866

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in alpha_avg_power for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.5 (1.1 to 1.9)	<0.001	<0.001	0.70 (0.08 to 1.3)	0.027	0.040	0.38 (-0.09 to 0.85)	0.12	0.12	0.35 (-6.4 to 7.1)	0.92	0.92	0.38 (-0.42 to 1.2)	0.35	0.53	1.1 (1.0 to 1.3)	<0.001	<0.001	-0.68 (-1.0 to -0.34)	<0.001	<0.001
mean_APexc_mean	-6.2 (-9.3 to -3.0)	<0.001	<0.001	10 (5.0 to 16)	<0.001	<0.001	6.6 (4.0 to 9.2)	<0.001	<0.001	34 (-80 to 148)	0.56	0.84	3.1 (-8.9 to 15)	0.61	0.61	-0.35 (-1.1 to 0.43)	0.38	0.38	-0.84 (-1.9 to 0.22)	0.12	0.15
group_char		0.005	0.005		0.21	0.21		0.023	0.034		0.51	0.84		<0.001	0.001		0.16	0.24		0.15	0.15
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.77 (-1.3 to -0.24)			0.07 (-0.73 to 0.86)			0.65 (0.00 to 1.3)			-2.1 (-6.3 to 2.0)			1.3 (0.62 to 2.0)			-0.15 (-0.34 to 0.03)			-0.42 (-0.92 to 0.08)
H3000’s	-0.75 (-1.3 to -0.22)			0.66 (-0.14 to 1.5)			0.88 (0.22 to 1.5)			-0.08 (-4.4 to 4.3)			1.1 (0.40 to 1.8)			0.01 (-0.18 to 0.19)			0.03 (-0.47 to 0.53)
subj_char.sd__(Intercept)	0.84 (NA to NA)			1.3 (NA to NA)			1.0 (NA to NA)			0.00 (NA to NA)			0.96 (NA to NA)			0.29 (NA to NA)			0.80 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.50 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1286, R2c: 0.9091

alpha_avg_power R2m: 0.0441, R2c: 0.8673

beta_avg_power R2m: 0.0964, R2c: 0.9549

theta_div_beta R2m: 0.0082, R2c: 0.0082

log_theta_div_beta R2m: 0.1273, R2c: 0.4783

aperiodic_exp R2m: 0.0559, R2c: 0.9477

aperiodic_offset R2m: 0.0593, R2c: 0.9865

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in beta_avg_power for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.0 (0.62 to 1.4)	<0.001	<0.001	1.1 (0.51 to 1.7)	<0.001	<0.001	0.82 (0.35 to 1.3)	<0.001	0.002	3.4 (-2.3 to 9.2)	0.24	0.63	0.51 (-0.21 to 1.2)	0.16	0.24	1.1 (0.95 to 1.2)	<0.001	<0.001	-0.79 (-1.1 to -0.44)	<0.001	<0.001
mean_MLexc_COV	0.01 (0.00 to 0.02)	0.028	0.028	0.01 (-0.01 to 0.03)	0.25	0.36	-0.01 (-0.01 to 0.00)	0.19	0.19	-0.09 (-0.45 to 0.27)	0.63	0.63	0.00 (-0.03 to 0.04)	0.88	0.88	0.00 (0.00 to 0.01)	0.019	0.029	0.00 (0.00 to 0.01)	0.014	0.021
group_char		0.011	0.017		0.36	0.36		0.051	0.077		0.43	0.63		<0.001	0.001		0.17	0.17		0.16	0.16
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.70 (-1.2 to -0.18)			-0.04 (-0.84 to 0.77)			0.58 (-0.08 to 1.2)			-2.5 (-6.5 to 1.5)			1.3 (0.60 to 2.0)			-0.15 (-0.33 to 0.03)			-0.41 (-0.90 to 0.09)
H3000’s	-0.66 (-1.2 to -0.14)			0.50 (-0.30 to 1.3)			0.78 (0.13 to 1.4)			-0.52 (-4.5 to 3.5)			1.1 (0.37 to 1.8)			0.01 (-0.17 to 0.19)			0.04 (-0.46 to 0.54)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)			0.96 (NA to NA)			0.29 (NA to NA)			0.80 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.52 (NA to NA)			0.25 (NA to NA)			13 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.125, R2c: 0.9016

alpha_avg_power R2m: 0.0327, R2c: 0.8615

beta_avg_power R2m: 0.0886, R2c: 0.9501

theta_div_beta R2m: 0.0078, R2c: 0.0078

log_theta_div_beta R2m: 0.1267, R2c: 0.4767

aperiodic_exp R2m: 0.0573, R2c: 0.9491

aperiodic_offset R2m: 0.0596, R2c: 0.9868

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_div_beta for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.4 (1.0 to 1.8)	<0.001	<0.001	1.0 (0.43 to 1.6)	<0.001	0.002	0.51 (0.05 to 0.98)	0.029	0.044	0.47 (-4.3 to 5.3)	0.85	0.85	0.60 (-0.03 to 1.2)	0.061	0.092	1.1 (1.0 to 1.3)	<0.001	<0.001	-0.68 (-1.0 to -0.33)	<0.001	<0.001
mean_MLexc_mean	-3.0 (-4.3 to -1.7)	<0.001	<0.001	3.1 (0.74 to 5.5)	0.010	0.015	2.7 (1.6 to 3.8)	<0.001	<0.001	21 (-27 to 70)	0.39	0.59	-0.64 (-5.7 to 4.4)	0.81	0.81	-0.33 (-0.66 to 0.00)	0.047	0.070	-0.63 (-1.1 to -0.19)	0.005	0.008
group_char		0.015	0.015		0.31	0.31		0.055	0.055		0.39	0.59		<0.001	0.001		0.18	0.18		0.16	0.16
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.68 (-1.2 to -0.15)			-0.07 (-0.87 to 0.72)			0.56 (-0.10 to 1.2)			-2.7 (-6.7 to 1.3)			1.3 (0.60 to 2.0)			-0.15 (-0.33 to 0.04)			-0.40 (-0.90 to 0.09)
H3000’s	-0.65 (-1.2 to -0.13)			0.51 (-0.29 to 1.3)			0.78 (0.12 to 1.4)			-0.60 (-4.6 to 3.4)			1.1 (0.38 to 1.8)			0.01 (-0.17 to 0.20)			0.04 (-0.45 to 0.54)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)			0.96 (NA to NA)			0.29 (NA to NA)			0.80 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1324, R2c: 0.911

alpha_avg_power R2m: 0.0378, R2c: 0.863

beta_avg_power R2m: 0.0947, R2c: 0.9554

theta_div_beta R2m: 0.0099, R2c: 0.0099

log_theta_div_beta R2m: 0.1269, R2c: 0.4765

aperiodic_exp R2m: 0.0571, R2c: 0.9483

aperiodic_offset R2m: 0.0599, R2c: 0.9869

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in log_theta_div_beta for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.5 (1.2 to 1.9)	<0.001	<0.001	0.90 (0.29 to 1.5)	0.004	0.009	0.46 (-0.01 to 0.93)	0.054	0.054	-0.25 (-7.0 to 6.5)	0.94	0.94	0.46 (-0.29 to 1.2)	0.23	0.35	1.1 (1.0 to 1.3)	<0.001	<0.001	-0.68 (-1.0 to -0.33)	<0.001	<0.001
mean_StepDur	-0.42 (-0.57 to -0.26)	<0.001	<0.001	0.40 (0.11 to 0.69)	0.006	0.009	0.30 (0.17 to 0.44)	<0.001	<0.001	2.7 (-4.1 to 9.5)	0.44	0.73	0.10 (-0.55 to 0.75)	0.77	0.77	-0.03 (-0.07 to 0.01)	0.17	0.17	-0.05 (-0.11 to 0.00)	0.051	0.077
group_char		0.004	0.004		0.25	0.25		0.029	0.043		0.49	0.73		<0.001	0.001		0.16	0.17		0.15	0.15
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.77 (-1.3 to -0.24)			0.02 (-0.79 to 0.82)			0.63 (-0.03 to 1.3)			-2.1 (-6.2 to 2.0)			1.3 (0.61 to 2.0)			-0.15 (-0.34 to 0.03)			-0.42 (-0.91 to 0.08)
H3000’s	-0.76 (-1.3 to -0.24)			0.61 (-0.19 to 1.4)			0.86 (0.20 to 1.5)			0.11 (-4.3 to 4.5)			1.1 (0.38 to 1.8)			0.00 (-0.18 to 0.19)			0.03 (-0.47 to 0.53)
subj_char.sd__(Intercept)	0.84 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)			0.95 (NA to NA)			0.29 (NA to NA)			0.80 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1313, R2c: 0.9146

alpha_avg_power R2m: 0.0366, R2c: 0.8651

beta_avg_power R2m: 0.0925, R2c: 0.9543

theta_div_beta R2m: 0.0093, R2c: 0.0093

log_theta_div_beta R2m: 0.127, R2c: 0.4762

aperiodic_exp R2m: 0.0561, R2c: 0.948

aperiodic_offset R2m: 0.0594, R2c: 0.9866

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_exp for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.4 (1.0 to 1.8)	<0.001	<0.001	1.2 (0.58 to 1.7)	<0.001	<0.001	0.61 (0.14 to 1.1)	0.010	0.016	2.3 (-2.5 to 7.1)	0.36	0.68	0.49 (-0.13 to 1.1)	0.12	0.18	1.1 (1.0 to 1.3)	<0.001	<0.001	-0.68 (-1.0 to -0.34)	<0.001	<0.001
mean_UDexc_COV	-0.02 (-0.03 to -0.01)	<0.001	<0.001	0.01 (0.00 to 0.02)	0.21	0.31	0.01 (0.00 to 0.02)	0.002	0.006	-0.01 (-0.32 to 0.31)	0.97	0.97	0.01 (-0.02 to 0.04)	0.73	0.73	0.00 (0.00 to 0.00)	0.028	0.043	0.00 (-0.01 to 0.00)	0.004	0.006
group_char		0.017	0.017		0.36	0.36		0.061	0.061		0.45	0.68		<0.001	0.002		0.16	0.16		0.15	0.15
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.69 (-1.2 to -0.16)			-0.05 (-0.86 to 0.76)			0.57 (-0.09 to 1.2)			-2.5 (-6.5 to 1.5)			1.3 (0.59 to 2.0)			-0.15 (-0.33 to 0.03)			-0.40 (-0.90 to 0.09)
H3000’s	-0.62 (-1.1 to -0.10)			0.49 (-0.31 to 1.3)			0.76 (0.10 to 1.4)			-0.57 (-4.6 to 3.5)			1.1 (0.36 to 1.8)			0.02 (-0.17 to 0.20)			0.05 (-0.45 to 0.55)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)			0.96 (NA to NA)			0.29 (NA to NA)			0.80 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.52 (NA to NA)			0.25 (NA to NA)			13 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9134

alpha_avg_power R2m: 0.0325, R2c: 0.8624

beta_avg_power R2m: 0.0893, R2c: 0.9529

theta_div_beta R2m: 0.0068, R2c: 0.0068

log_theta_div_beta R2m: 0.1268, R2c: 0.4783

aperiodic_exp R2m: 0.057, R2c: 0.9487

aperiodic_offset R2m: 0.0598, R2c: 0.9869

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_offset for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.89 (0.52 to 1.3)	<0.001	<0.001	1.3 (0.75 to 1.9)	<0.001	<0.001	0.89 (0.43 to 1.4)	<0.001	<0.001	1.3 (-3.6 to 6.2)	0.59	0.68	0.66 (0.04 to 1.3)	0.038	0.057	1.1 (0.96 to 1.2)	<0.001	<0.001	-0.78 (-1.1 to -0.44)	<0.001	<0.001
mean_UDexc_mean	12 (7.6 to 16)	<0.001	<0.001	-2.9 (-11 to 4.9)	0.47	0.47	-6.7 (-10 to -3.0)	<0.001	<0.001	36 (-135 to 207)	0.68	0.68	-4.6 (-22 to 12)	0.59	0.59	1.1 (0.05 to 2.2)	0.041	0.061	2.1 (0.69 to 3.6)	0.004	0.005
group_char		0.010	0.010		0.34	0.47		0.049	0.049		0.45	0.68		<0.001	0.001		0.17	0.17		0.16	0.16
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.71 (-1.2 to -0.19)			-0.04 (-0.85 to 0.76)			0.59 (-0.08 to 1.2)			-2.5 (-6.5 to 1.5)			1.3 (0.60 to 2.0)			-0.15 (-0.34 to 0.03)			-0.41 (-0.91 to 0.09)
H3000’s	-0.68 (-1.2 to -0.16)			0.51 (-0.29 to 1.3)			0.79 (0.13 to 1.5)			-0.66 (-4.7 to 3.4)			1.1 (0.38 to 1.8)			0.01 (-0.17 to 0.19)			0.04 (-0.46 to 0.54)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)			0.96 (NA to NA)			0.29 (NA to NA)			0.80 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.52 (NA to NA)			0.25 (NA to NA)			13 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1357, R2c: 0.9148

alpha_avg_power R2m: 0.0319, R2c: 0.8614

beta_avg_power R2m: 0.0907, R2c: 0.9533

theta_div_beta R2m: 0.0075, R2c: 0.0075

log_theta_div_beta R2m: 0.1273, R2c: 0.478

aperiodic_exp R2m: 0.0568, R2c: 0.9487

aperiodic_offset R2m: 0.0597, R2c: 0.987

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.5 (1.1 to 1.8)	<0.001	<0.001	0.97 (0.38 to 1.6)	0.001	0.004	0.51 (0.05 to 0.98)	0.030	0.032	0.33 (-5.4 to 6.1)	0.91	0.91	0.51 (-0.17 to 1.2)	0.14	0.21	1.1 (1.0 to 1.3)	<0.001	<0.001	-0.69 (-1.0 to -0.34)	<0.001	<0.001
mean_StanceDur	-0.24 (-0.34 to -0.15)	<0.001	<0.001	0.24 (0.07 to 0.41)	0.005	0.008	0.18 (0.10 to 0.26)	<0.001	<0.001	1.5 (-2.6 to 5.6)	0.47	0.73	0.04 (-0.35 to 0.42)	0.86	0.86	-0.02 (-0.04 to 0.01)	0.14	0.16	-0.03 (-0.07 to 0.00)	0.039	0.059
group_char		0.005	0.005		0.26	0.26		0.032	0.032		0.49	0.73		<0.001	0.001		0.16	0.16		0.15	0.15
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.76 (-1.3 to -0.23)			0.01 (-0.79 to 0.81)			0.62 (-0.04 to 1.3)			-2.2 (-6.3 to 1.9)			1.3 (0.60 to 2.0)			-0.15 (-0.34 to 0.03)			-0.42 (-0.91 to 0.08)
H3000’s	-0.74 (-1.3 to -0.22)			0.59 (-0.21 to 1.4)			0.84 (0.19 to 1.5)			-0.05 (-4.3 to 4.2)			1.1 (0.38 to 1.8)			0.01 (-0.18 to 0.19)			0.03 (-0.47 to 0.53)
subj_char.sd__(Intercept)	0.84 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)			0.95 (NA to NA)			0.29 (NA to NA)			0.80 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1312, R2c: 0.9136

alpha_avg_power R2m: 0.0368, R2c: 0.8653

beta_avg_power R2m: 0.0924, R2c: 0.9543

theta_div_beta R2m: 0.009, R2c: 0.009

log_theta_div_beta R2m: 0.1268, R2c: 0.476

aperiodic_exp R2m: 0.0561, R2c: 0.9481

aperiodic_offset R2m: 0.0594, R2c: 0.9867

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.5 (1.2 to 1.9)	<0.001	<0.001	0.90 (0.29 to 1.5)	0.004	0.009	0.46 (-0.01 to 0.93)	0.054	0.054	-0.24 (-7.0 to 6.5)	0.94	0.94	0.46 (-0.29 to 1.2)	0.23	0.34	1.1 (1.0 to 1.3)	<0.001	<0.001	-0.68 (-1.0 to -0.33)	<0.001	<0.001
mean_GaitCycleDur	-0.21 (-0.29 to -0.13)	<0.001	<0.001	0.20 (0.06 to 0.34)	0.006	0.009	0.15 (0.08 to 0.22)	<0.001	<0.001	1.3 (-2.1 to 4.7)	0.44	0.73	0.05 (-0.27 to 0.37)	0.77	0.77	-0.01 (-0.03 to 0.01)	0.17	0.17	-0.03 (-0.05 to 0.00)	0.052	0.077
group_char		0.004	0.004		0.25	0.25		0.029	0.043		0.49	0.73		<0.001	0.001		0.16	0.17		0.15	0.15
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.77 (-1.3 to -0.24)			0.02 (-0.79 to 0.82)			0.63 (-0.03 to 1.3)			-2.1 (-6.2 to 2.0)			1.3 (0.61 to 2.0)			-0.15 (-0.34 to 0.03)			-0.42 (-0.91 to 0.08)
H3000’s	-0.76 (-1.3 to -0.24)			0.61 (-0.19 to 1.4)			0.86 (0.20 to 1.5)			0.11 (-4.3 to 4.5)			1.1 (0.38 to 1.8)			0.00 (-0.18 to 0.19)			0.03 (-0.47 to 0.53)
subj_char.sd__(Intercept)	0.84 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)			0.95 (NA to NA)			0.29 (NA to NA)			0.80 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1313, R2c: 0.9145

alpha_avg_power R2m: 0.0366, R2c: 0.8651

beta_avg_power R2m: 0.0925, R2c: 0.9543

theta_div_beta R2m: 0.0093, R2c: 0.0093

log_theta_div_beta R2m: 0.127, R2c: 0.4761

aperiodic_exp R2m: 0.0561, R2c: 0.948

aperiodic_offset R2m: 0.0594, R2c: 0.9866

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 11
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.98 (0.61 to 1.3)	<0.001	<0.001	1.4 (0.81 to 2.0)	<0.001	<0.001	0.87 (0.41 to 1.3)	<0.001	<0.001	1.7 (-2.5 to 5.9)	0.43	0.67	0.63 (0.06 to 1.2)	0.030	0.045	1.1 (0.97 to 1.2)	<0.001	<0.001	-0.77 (-1.1 to -0.43)	<0.001	<0.001
mean_PeakUpDownVel_mean	0.82 (0.51 to 1.1)	<0.001	<0.001	-0.49 (-1.1 to 0.09)	0.10	0.14	-0.58 (-0.86 to -0.31)	<0.001	<0.001	2.1 (-11 to 16)	0.77	0.77	-0.32 (-1.6 to 0.97)	0.63	0.63	0.08 (0.00 to 0.16)	0.041	0.061	0.17 (0.06 to 0.27)	0.002	0.003
group_char		0.008	0.008		0.32	0.32		0.044	0.044		0.44	0.67		<0.001	0.001		0.16	0.16		0.16	0.16
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.72 (-1.2 to -0.20)			-0.03 (-0.84 to 0.77)			0.60 (-0.06 to 1.3)			-2.5 (-6.6 to 1.5)			1.3 (0.61 to 2.0)			-0.15 (-0.34 to 0.03)			-0.41 (-0.91 to 0.08)
H3000’s	-0.69 (-1.2 to -0.17)			0.53 (-0.28 to 1.3)			0.81 (0.15 to 1.5)			-0.68 (-4.7 to 3.4)			1.1 (0.39 to 1.8)			0.01 (-0.18 to 0.19)			0.04 (-0.46 to 0.53)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)			0.00 (NA to NA)			0.96 (NA to NA)			0.29 (NA to NA)			0.80 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.52 (NA to NA)			0.24 (NA to NA)			13 (NA to NA)			1.2 (NA to NA)			0.07 (NA to NA)			0.09 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1331, R2c: 0.9128

alpha_avg_power R2m: 0.0334, R2c: 0.863

beta_avg_power R2m: 0.0916, R2c: 0.9545

theta_div_beta R2m: 0.0071, R2c: 0.0071

log_theta_div_beta R2m: 0.1273, R2c: 0.477

aperiodic_exp R2m: 0.0568, R2c: 0.9485

aperiodic_offset R2m: 0.0599, R2c: 0.987

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_avg_power for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.95 (0.58 to 1.3)	<0.001	<0.001	1.2 (0.25 to 2.1)	0.012	0.037	1.4 (0.62 to 2.2)	<0.001	0.002	0.14 (-6.2 to 6.5)	0.96	0.96	1.4 (0.55 to 2.2)	0.001	0.003	1.0 (0.92 to 1.1)	<0.001	<0.001	-1.1 (-1.3 to -0.86)	<0.001	<0.001
mean_APexc_COV	0.00 (-0.02 to 0.01)	0.46	0.46	0.01 (-0.01 to 0.02)	0.50	0.75	0.01 (0.00 to 0.02)	0.065	0.10	-0.07 (-0.42 to 0.28)	0.68	0.96	-0.01 (-0.04 to 0.02)	0.45	0.45	0.00 (0.00 to 0.00)	0.23	0.23	0.00 (0.00 to 0.00)	0.72	0.72
group_char		0.16	0.25		0.83	0.83		0.13	0.13		0.39	0.96		0.15	0.23		0.014	0.021		0.004	0.006
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.25 (-0.75 to 0.25)			-0.12 (-1.4 to 1.2)			0.56 (-0.62 to 1.7)			3.8 (-1.6 to 9.1)			0.94 (-0.05 to 1.9)			-0.21 (-0.35 to -0.07)			-0.48 (-0.77 to -0.20)
H3000’s	-0.46 (-0.94 to 0.01)			0.27 (-0.96 to 1.5)			1.1 (0.04 to 2.2)			2.0 (-3.6 to 7.7)			0.69 (-0.26 to 1.6)			-0.12 (-0.25 to 0.02)			-0.17 (-0.44 to 0.10)
subj_char.sd__(Intercept)	0.76 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			1.4 (NA to NA)			0.21 (NA to NA)			0.45 (NA to NA)
Residual.sd__Observation	0.34 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)			0.95 (NA to NA)			0.09 (NA to NA)			0.11 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0627, R2c: 0.8436

alpha_avg_power R2m: 0.0074, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.975

theta_div_beta R2m: 0.008, R2c: 0.008

log_theta_div_beta R2m: 0.042, R2c: 0.7085

aperiodic_exp R2m: 0.1044, R2c: 0.8731

aperiodic_offset R2m: 0.1487, R2c: 0.9538

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in alpha_avg_power for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.1 (0.71 to 1.4)	<0.001	<0.001	0.97 (0.06 to 1.9)	0.036	0.055	1.3 (0.53 to 2.1)	0.001	0.003	-2.0 (-9.3 to 5.4)	0.60	0.77	1.2 (0.42 to 2.1)	0.003	0.009	1.1 (0.98 to 1.2)	<0.001	<0.001	-1.0 (-1.2 to -0.80)	<0.001	<0.001
mean_APexc_mean	-3.5 (-6.7 to -0.26)	0.034	0.051	5.1 (0.68 to 9.4)	0.023	0.055	4.5 (1.6 to 7.4)	0.003	0.004	18 (-103 to 139)	0.77	0.77	-1.3 (-10 to 7.7)	0.78	0.78	-0.63 (-1.5 to 0.20)	0.14	0.14	-1.0 (-2.0 to 0.01)	0.053	0.053
group_char		0.065	0.065		0.75	0.75		0.067	0.067		0.40	0.77		0.21	0.32		0.017	0.026		0.004	0.006
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.30 (-0.80 to 0.19)			-0.04 (-1.3 to 1.3)			0.66 (-0.51 to 1.8)			3.4 (-1.5 to 8.3)			0.85 (-0.12 to 1.8)			-0.20 (-0.34 to -0.06)			-0.49 (-0.77 to -0.20)
H3000’s	-0.55 (-1.0 to -0.09)			0.39 (-0.83 to 1.6)			1.3 (0.20 to 2.4)			1.6 (-3.3 to 6.4)			0.56 (-0.36 to 1.5)			-0.11 (-0.24 to 0.02)			-0.18 (-0.45 to 0.09)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			1.4 (NA to NA)			0.21 (NA to NA)			0.45 (NA to NA)
Residual.sd__Observation	0.34 (NA to NA)			0.45 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)			0.95 (NA to NA)			0.09 (NA to NA)			0.11 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0671, R2c: 0.8437

alpha_avg_power R2m: 0.0087, R2c: 0.9533

beta_avg_power R2m: 0.0756, R2c: 0.9757

theta_div_beta R2m: 0.0076, R2c: 0.0076

log_theta_div_beta R2m: 0.0405, R2c: 0.711

aperiodic_exp R2m: 0.1052, R2c: 0.8724

aperiodic_offset R2m: 0.1506, R2c: 0.9543

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in beta_avg_power for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.75 (0.39 to 1.1)	<0.001	<0.001	1.3 (0.35 to 2.2)	0.007	0.020	1.7 (0.91 to 2.5)	<0.001	<0.001	0.94 (-5.6 to 7.5)	0.78	0.78	1.2 (0.42 to 2.0)	0.003	0.008	0.99 (0.89 to 1.1)	<0.001	<0.001	-1.1 (-1.3 to -0.94)	<0.001	<0.001
mean_MLexc_COV	0.01 (0.00 to 0.02)	0.11	0.11	0.00 (-0.02 to 0.01)	0.93	0.93	-0.01 (-0.02 to 0.00)	0.091	0.091	-0.13 (-0.51 to 0.25)	0.50	0.75	0.00 (-0.03 to 0.03)	0.85	0.85	0.00 (0.00 to 0.01)	0.008	0.012	0.01 (0.00 to 0.01)	0.001	0.002
group_char		0.10	0.11		0.80	0.93		0.087	0.091		0.45	0.75		0.20	0.30		0.025	0.025		0.005	0.005
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.27 (-0.76 to 0.22)			-0.08 (-1.4 to 1.2)			0.62 (-0.56 to 1.8)			3.1 (-1.7 to 8.0)			0.86 (-0.11 to 1.8)			-0.19 (-0.33 to -0.05)			-0.48 (-0.76 to -0.19)
H3000’s	-0.50 (-0.96 to -0.04)			0.33 (-0.90 to 1.5)			1.2 (0.14 to 2.3)			1.3 (-3.3 to 5.8)			0.58 (-0.33 to 1.5)			-0.10 (-0.23 to 0.03)			-0.16 (-0.43 to 0.11)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			1.4 (NA to NA)			0.21 (NA to NA)			0.45 (NA to NA)
Residual.sd__Observation	0.34 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)			0.95 (NA to NA)			0.09 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0658, R2c: 0.8422

alpha_avg_power R2m: 0.0072, R2c: 0.952

beta_avg_power R2m: 0.0747, R2c: 0.9749

theta_div_beta R2m: 0.0092, R2c: 0.0092

log_theta_div_beta R2m: 0.0405, R2c: 0.7099

aperiodic_exp R2m: 0.1084, R2c: 0.8779

aperiodic_offset R2m: 0.1517, R2c: 0.9563

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in theta_div_beta for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.1 (0.76 to 1.5)	<0.001	<0.001	1.2 (0.28 to 2.1)	0.010	0.030	1.4 (0.61 to 2.2)	<0.001	0.001	-1.2 (-6.6 to 4.2)	0.67	0.94	1.3 (0.56 to 2.0)	<0.001	0.002	1.1 (1.0 to 1.2)	<0.001	<0.001	-0.98 (-1.2 to -0.79)	<0.001	<0.001
mean_MLexc_mean	-2.8 (-4.3 to -1.4)	<0.001	<0.001	1.0 (-1.0 to 3.0)	0.34	0.50	2.1 (0.76 to 3.4)	0.002	0.003	2.1 (-53 to 57)	0.94	0.94	-1.5 (-5.6 to 2.6)	0.48	0.48	-0.63 (-1.0 to -0.25)	0.001	0.002	-0.91 (-1.4 to -0.45)	<0.001	<0.001
group_char		0.11	0.11		0.79	0.79		0.089	0.089		0.44	0.94		0.18	0.28		0.032	0.032		0.006	0.006
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.23 (-0.72 to 0.27)			-0.10 (-1.4 to 1.2)			0.59 (-0.59 to 1.8)			3.2 (-1.7 to 8.2)			0.89 (-0.09 to 1.9)			-0.18 (-0.32 to -0.05)			-0.46 (-0.75 to -0.18)
H3000’s	-0.49 (-0.96 to -0.03)			0.32 (-0.90 to 1.5)			1.2 (0.13 to 2.3)			1.3 (-3.2 to 5.9)			0.58 (-0.33 to 1.5)			-0.10 (-0.23 to 0.03)			-0.16 (-0.43 to 0.11)
subj_char.sd__(Intercept)	0.76 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			1.4 (NA to NA)			0.21 (NA to NA)			0.45 (NA to NA)
Residual.sd__Observation	0.32 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)			0.95 (NA to NA)			0.08 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0755, R2c: 0.8559

alpha_avg_power R2m: 0.0075, R2c: 0.952

beta_avg_power R2m: 0.0755, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

log_theta_div_beta R2m: 0.0412, R2c: 0.7116

aperiodic_exp R2m: 0.1116, R2c: 0.8783

aperiodic_offset R2m: 0.1534, R2c: 0.9572

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in log_theta_div_beta for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.1 (0.77 to 1.5)	<0.001	<0.001	1.1 (0.20 to 2.0)	0.017	0.050	1.4 (0.58 to 2.2)	<0.001	0.002	-1.0 (-8.6 to 6.5)	0.79	0.99	1.2 (0.41 to 2.0)	0.003	0.009	1.1 (0.99 to 1.2)	<0.001	<0.001	-0.98 (-1.2 to -0.78)	<0.001	<0.001
mean_StepDur	-0.27 (-0.44 to -0.10)	0.002	0.003	0.15 (-0.08 to 0.39)	0.21	0.31	0.21 (0.05 to 0.37)	0.009	0.013	0.04 (-7.4 to 7.5)	0.99	0.99	-0.03 (-0.52 to 0.46)	0.90	0.90	-0.04 (-0.09 to 0.00)	0.053	0.053	-0.08 (-0.13 to -0.02)	0.005	0.005
group_char		0.055	0.055		0.78	0.78		0.071	0.071		0.43	0.99		0.21	0.31		0.016	0.025		0.004	0.005
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.32 (-0.81 to 0.17)			-0.06 (-1.4 to 1.3)			0.65 (-0.52 to 1.8)			3.3 (-1.7 to 8.2)			0.86 (-0.12 to 1.8)			-0.20 (-0.34 to -0.06)			-0.49 (-0.78 to -0.20)
H3000’s	-0.56 (-1.0 to -0.10)			0.36 (-0.87 to 1.6)			1.3 (0.19 to 2.4)			1.3 (-3.5 to 6.2)			0.57 (-0.35 to 1.5)			-0.11 (-0.24 to 0.02)			-0.18 (-0.45 to 0.09)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			1.4 (NA to NA)			0.21 (NA to NA)			0.45 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)			0.95 (NA to NA)			0.09 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0697, R2c: 0.8483

alpha_avg_power R2m: 0.0074, R2c: 0.9527

beta_avg_power R2m: 0.0752, R2c: 0.9756

theta_div_beta R2m: 0.0073, R2c: 0.0073

log_theta_div_beta R2m: 0.0404, R2c: 0.7116

aperiodic_exp R2m: 0.1049, R2c: 0.874

aperiodic_offset R2m: 0.1501, R2c: 0.9556

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_exp for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.1 (0.72 to 1.4)	<0.001	<0.001	1.2 (0.32 to 2.1)	0.008	0.023	1.4 (0.64 to 2.2)	<0.001	0.001	-1.2 (-6.6 to 4.2)	0.66	0.93	1.3 (0.55 to 2.0)	<0.001	0.001	1.1 (0.99 to 1.2)	<0.001	<0.001	-1.0 (-1.2 to -0.80)	<0.001	<0.001
mean_UDexc_COV	-0.01 (-0.02 to -0.01)	<0.001	0.001	0.00 (-0.01 to 0.01)	0.60	0.80	0.01 (0.00 to 0.02)	0.004	0.006	0.02 (-0.34 to 0.37)	0.93	0.93	-0.01 (-0.03 to 0.02)	0.52	0.52	0.00 (0.00 to 0.00)	0.010	0.015	0.00 (-0.01 to 0.00)	<0.001	<0.001
group_char		0.13	0.13		0.80	0.80		0.094	0.094		0.42	0.93		0.19	0.28		0.026	0.026		0.005	0.005
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.26 (-0.76 to 0.23)			-0.08 (-1.4 to 1.2)			0.61 (-0.56 to 1.8)			3.2 (-1.6 to 8.1)			0.87 (-0.10 to 1.8)			-0.19 (-0.33 to -0.05)			-0.48 (-0.76 to -0.19)
H3000’s	-0.48 (-0.95 to -0.02)			0.32 (-0.90 to 1.5)			1.2 (0.12 to 2.3)			1.3 (-3.3 to 5.9)			0.59 (-0.32 to 1.5)			-0.10 (-0.23 to 0.03)			-0.16 (-0.43 to 0.11)
subj_char.sd__(Intercept)	0.76 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			1.4 (NA to NA)			0.21 (NA to NA)			0.45 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)			0.95 (NA to NA)			0.09 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0699, R2c: 0.8538

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

log_theta_div_beta R2m: 0.0412, R2c: 0.709

aperiodic_exp R2m: 0.1061, R2c: 0.8779

aperiodic_offset R2m: 0.1513, R2c: 0.9568

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in aperiodic_offset for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.68 (0.33 to 1.0)	<0.001	<0.001	1.3 (0.37 to 2.2)	0.006	0.017	1.7 (0.95 to 2.5)	<0.001	<0.001	-2.0 (-7.9 to 4.0)	0.52	0.71	1.2 (0.41 to 1.9)	0.002	0.007	0.98 (0.89 to 1.1)	<0.001	<0.001	-1.2 (-1.4 to -0.96)	<0.001	<0.001
mean_UDexc_mean	8.8 (3.8 to 14)	<0.001	<0.001	-0.67 (-7.8 to 6.4)	0.85	0.85	-7.4 (-12 to -2.7)	0.002	0.003	40 (-169 to 250)	0.71	0.71	0.84 (-14 to 15)	0.91	0.91	2.8 (1.6 to 4.1)	<0.001	<0.001	4.3 (2.8 to 5.8)	<0.001	<0.001
group_char		0.10	0.10		0.80	0.85		0.087	0.087		0.44	0.71		0.20	0.30		0.019	0.019		0.004	0.004
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.29 (-0.79 to 0.20)			-0.08 (-1.4 to 1.2)			0.64 (-0.54 to 1.8)			3.2 (-1.7 to 8.0)			0.86 (-0.11 to 1.8)			-0.20 (-0.34 to -0.06)			-0.49 (-0.78 to -0.20)
H3000’s	-0.51 (-0.97 to -0.04)			0.33 (-0.90 to 1.5)			1.2 (0.14 to 2.3)			1.3 (-3.3 to 5.8)			0.58 (-0.33 to 1.5)			-0.10 (-0.23 to 0.03)			-0.17 (-0.44 to 0.10)
subj_char.sd__(Intercept)	0.76 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			1.4 (NA to NA)			0.22 (NA to NA)			0.45 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)			0.95 (NA to NA)			0.08 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0706, R2c: 0.8544

alpha_avg_power R2m: 0.0072, R2c: 0.952

beta_avg_power R2m: 0.0749, R2c: 0.976

theta_div_beta R2m: 0.0079, R2c: 0.0079

log_theta_div_beta R2m: 0.0405, R2c: 0.7099

aperiodic_exp R2m: 0.1124, R2c: 0.8869

aperiodic_offset R2m: 0.1537, R2c: 0.9609

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.1 (0.73 to 1.4)	<0.001	<0.001	1.1 (0.23 to 2.0)	0.014	0.042	1.4 (0.62 to 2.2)	<0.001	0.001	-0.78 (-7.2 to 5.7)	0.81	0.94	1.2 (0.44 to 1.9)	0.002	0.006	1.1 (0.98 to 1.2)	<0.001	<0.001	-1.0 (-1.2 to -0.80)	<0.001	<0.001
mean_StanceDur	-0.16 (-0.26 to -0.06)	0.002	0.004	0.10 (-0.04 to 0.24)	0.17	0.26	0.13 (0.04 to 0.22)	0.007	0.010	-0.19 (-4.6 to 4.3)	0.94	0.94	-0.01 (-0.30 to 0.28)	0.93	0.93	-0.03 (-0.05 to 0.00)	0.058	0.058	-0.05 (-0.08 to -0.01)	0.005	0.005
group_char		0.063	0.063		0.78	0.78		0.073	0.073		0.44	0.94		0.20	0.30		0.017	0.026		0.004	0.005
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.31 (-0.80 to 0.18)			-0.06 (-1.4 to 1.2)			0.65 (-0.52 to 1.8)			3.2 (-1.7 to 8.1)			0.86 (-0.11 to 1.8)			-0.20 (-0.34 to -0.06)			-0.49 (-0.78 to -0.20)
H3000’s	-0.55 (-1.0 to -0.09)			0.35 (-0.87 to 1.6)			1.3 (0.18 to 2.4)			1.2 (-3.5 to 6.0)			0.57 (-0.34 to 1.5)			-0.11 (-0.24 to 0.02)			-0.18 (-0.45 to 0.09)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			1.4 (NA to NA)			0.21 (NA to NA)			0.45 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.45 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)			0.95 (NA to NA)			0.09 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0694, R2c: 0.8484

alpha_avg_power R2m: 0.0075, R2c: 0.9527

beta_avg_power R2m: 0.0752, R2c: 0.9756

theta_div_beta R2m: 0.0073, R2c: 0.0073

log_theta_div_beta R2m: 0.0404, R2c: 0.7115

aperiodic_exp R2m: 0.1046, R2c: 0.8742

aperiodic_offset R2m: 0.1499, R2c: 0.9557

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	1.1 (0.77 to 1.5)	<0.001	<0.001	1.1 (0.20 to 2.0)	0.017	0.050	1.4 (0.58 to 2.2)	<0.001	0.002	-1.1 (-8.6 to 6.5)	0.78	0.99	1.2 (0.41 to 2.0)	0.003	0.009	1.1 (0.99 to 1.2)	<0.001	<0.001	-0.98 (-1.2 to -0.78)	<0.001	<0.001
mean_GaitCycleDur	-0.13 (-0.22 to -0.05)	0.002	0.003	0.08 (-0.04 to 0.19)	0.21	0.31	0.10 (0.03 to 0.18)	0.009	0.013	0.02 (-3.7 to 3.7)	0.99	0.99	-0.02 (-0.26 to 0.23)	0.90	0.90	-0.02 (-0.04 to 0.00)	0.053	0.053	-0.04 (-0.07 to -0.01)	0.005	0.005
group_char		0.056	0.056		0.78	0.78		0.071	0.071		0.43	0.99		0.20	0.31		0.016	0.025		0.004	0.005
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.32 (-0.81 to 0.17)			-0.06 (-1.4 to 1.3)			0.65 (-0.52 to 1.8)			3.3 (-1.7 to 8.2)			0.86 (-0.12 to 1.8)			-0.20 (-0.34 to -0.06)			-0.49 (-0.78 to -0.20)
H3000’s	-0.56 (-1.0 to -0.10)			0.36 (-0.87 to 1.6)			1.3 (0.19 to 2.4)			1.3 (-3.5 to 6.2)			0.57 (-0.35 to 1.5)			-0.11 (-0.24 to 0.02)			-0.18 (-0.45 to 0.09)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			1.4 (NA to NA)			0.21 (NA to NA)			0.45 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)			0.95 (NA to NA)			0.09 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0697, R2c: 0.8483

alpha_avg_power R2m: 0.0074, R2c: 0.9527

beta_avg_power R2m: 0.0752, R2c: 0.9756

theta_div_beta R2m: 0.0073, R2c: 0.0073

log_theta_div_beta R2m: 0.0404, R2c: 0.7116

aperiodic_exp R2m: 0.1049, R2c: 0.874

aperiodic_offset R2m: 0.1501, R2c: 0.9556

Characteristic	THETA			ALPHA			BETA			THETA/BETA			log10(THETA/BETA)			AP exp			AP offset
Changes in NA for Cluster: 12
Characteristic	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²	Beta (95% CI)¹	p-value	q-value²
(Intercept)	0.73 (0.39 to 1.1)	<0.001	<0.001	1.3 (0.39 to 2.2)	0.005	0.014	1.7 (0.91 to 2.5)	<0.001	<0.001	-1.8 (-6.8 to 3.2)	0.49	0.70	1.2 (0.48 to 1.9)	<0.001	0.003	1.0 (0.91 to 1.1)	<0.001	<0.001	-1.1 (-1.3 to -0.93)	<0.001	<0.001
mean_PeakUpDownVel_mean	0.67 (0.29 to 1.0)	<0.001	<0.001	-0.12 (-0.64 to 0.40)	0.65	0.80	-0.54 (-0.88 to -0.19)	0.002	0.003	3.2 (-13 to 19)	0.70	0.70	-0.04 (-1.1 to 1.0)	0.95	0.95	0.21 (0.12 to 0.30)	<0.001	<0.001	0.32 (0.20 to 0.43)	<0.001	<0.001
group_char		0.087	0.087		0.80	0.80		0.082	0.082		0.44	0.70		0.20	0.30		0.017	0.017		0.004	0.004
H1000’s	—			—			—			—			—			—			—
H2000’s	-0.30 (-0.79 to 0.20)			-0.08 (-1.4 to 1.2)			0.64 (-0.53 to 1.8)			3.2 (-1.7 to 8.0)			0.86 (-0.11 to 1.8)			-0.20 (-0.34 to -0.06)			-0.49 (-0.78 to -0.20)
H3000’s	-0.52 (-0.98 to -0.06)			0.33 (-0.89 to 1.6)			1.3 (0.15 to 2.3)			1.2 (-3.3 to 5.8)			0.58 (-0.33 to 1.5)			-0.11 (-0.24 to 0.02)			-0.17 (-0.44 to 0.10)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)			0.00 (NA to NA)			1.4 (NA to NA)			0.21 (NA to NA)			0.45 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)			15 (NA to NA)			0.95 (NA to NA)			0.08 (NA to NA)			0.10 (NA to NA)
¹ CI = Confidence Interval
² False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0709, R2c: 0.8527

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0751, R2c: 0.9758

theta_div_beta R2m: 0.0079, R2c: 0.0079

log_theta_div_beta R2m: 0.0404, R2c: 0.7102

aperiodic_exp R2m: 0.1132, R2c: 0.8846

aperiodic_offset R2m: 0.1534, R2c: 0.9608

lme_mods

Jacob Salminen

2024-04-19

Packages & Setup

GTSUMMARY THEME

load table

get unique entries

get speeds only

create ratios

EEG TESTS: SPEED, GROUP, INTERACTION

LME EEG ~ 1+speed+group+speed:group